Triple

T8995770

Position	Surface form	Disambiguated ID	Type / Status
Subject	Amos B. Smith III	`E214901`	entity
Predicate	affiliation	`P10`	FINISHED
Object	Department of Chemistry, University of Pennsylvania The Department of Chemistry at the University of Pennsylvania is a leading academic and research department known for its contributions to organic, inorganic, physical, and materials chemistry.	`E771018`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Department of Chemistry, University of Pennsylvania | Statement: [Amos B. Smith III, affiliation, Department of Chemistry, University of Pennsylvania]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Department of Chemistry, University of Pennsylvania
Context triple: [Amos B. Smith III, affiliation, Department of Chemistry, University of Pennsylvania]

A. Department of Chemistry at Yale University
The Department of Chemistry at Yale University is a leading academic and research department known for its contributions to fundamental and interdisciplinary chemical science, training undergraduate and graduate students, and hosting prominent scholars in the field.
B. Department of Chemistry, Cornell University
The Department of Chemistry at Cornell University is a leading academic and research unit known for its contributions to chemical science and the training of prominent chemists.
C. Department of Chemistry (Carnegie Mellon University)
The Department of Chemistry at Carnegie Mellon University is an academic department known for its research and education in chemical sciences, spanning areas such as materials, nanotechnology, biological chemistry, and computational chemistry.
D. Department of Chemistry at Northwestern University
The Department of Chemistry at Northwestern University is a leading academic and research unit known for its pioneering work in areas such as materials, catalysis, and chemical biology, and for hosting distinguished faculty positions like the George B. Rathmann Professorship.
E. Columbia University Department of Chemistry
The Columbia University Department of Chemistry is a leading academic and research department in New York City known for its influential contributions to chemical science and for hosting prominent chemists such as Ronald Breslow.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Department of Chemistry, University of Pennsylvania
Triple: [Amos B. Smith III, affiliation, Department of Chemistry, University of Pennsylvania]

Generated description

The Department of Chemistry at the University of Pennsylvania is a leading academic and research department known for its contributions to organic, inorganic, physical, and materials chemistry.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Department of Chemistry, University of Pennsylvania
Target entity description: The Department of Chemistry at the University of Pennsylvania is a leading academic and research department known for its contributions to organic, inorganic, physical, and materials chemistry.

A. Department of Chemistry at Yale University
The Department of Chemistry at Yale University is a leading academic and research department known for its contributions to fundamental and interdisciplinary chemical science, training undergraduate and graduate students, and hosting prominent scholars in the field.
B. Department of Chemistry, Cornell University
The Department of Chemistry at Cornell University is a leading academic and research unit known for its contributions to chemical science and the training of prominent chemists.
C. Department of Chemistry (Carnegie Mellon University)
The Department of Chemistry at Carnegie Mellon University is an academic department known for its research and education in chemical sciences, spanning areas such as materials, nanotechnology, biological chemistry, and computational chemistry.
D. Department of Chemistry at Northwestern University
The Department of Chemistry at Northwestern University is a leading academic and research unit known for its pioneering work in areas such as materials, catalysis, and chemical biology, and for hosting distinguished faculty positions like the George B. Rathmann Professorship.
E. Columbia University Department of Chemistry
The Columbia University Department of Chemistry is a leading academic and research department in New York City known for its influential contributions to chemical science and for hosting prominent chemists such as Ronald Breslow.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69ca83a05c608190bdfdbdb25e994b39`	completed	March 30, 2026, 2:07 p.m.
NER	Named-entity recognition	`batch_69cc68df33c48190a5017426e59c0bc4`	completed	April 1, 2026, 12:37 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cfd0d0e6a08190a2faf4157b8a9cd4`	completed	April 3, 2026, 2:38 p.m.
NEDg	Description generation	`batch_69cfd193fdbc8190b49192327f698943`	completed	April 3, 2026, 2:41 p.m.
NED2	Entity disambiguation (via description)	`batch_69cfd242590881909ca351c1040c76ef`	completed	April 3, 2026, 2:44 p.m.

Created at: March 30, 2026, 7:04 p.m.