Triple

T20874998
Position Surface form Disambiguated ID Type / Status
Subject Princeton University faculty E513994 entity
Predicate associatedWith P37 FINISHED
Object Princeton University Department of Computer Science
The Princeton University Department of Computer Science is a leading academic department renowned for its research and teaching in theoretical and applied computer science within Princeton University.
E1455482 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: Princeton University Department of Computer Science | Statement: [Princeton University faculty, associatedWith, Princeton University Department of Computer Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princeton University Department of Computer Science
Context triple: [Princeton University faculty, associatedWith, Princeton University Department of Computer Science]
  • A. Dartmouth College Department of Computer Science
    The Dartmouth College Department of Computer Science is an academic department at Dartmouth College known for its research and teaching in areas such as algorithms, systems, artificial intelligence, and human-computer interaction.
  • B. Cornell University Department of Computer Science
    Cornell University Department of Computer Science is a leading academic department known for its pioneering research and education in areas such as theory, systems, artificial intelligence, and programming languages.
  • C. Department of Computer Science, Columbia University
    The Department of Computer Science at Columbia University is a leading academic and research institution known for its contributions to theoretical computer science, systems, artificial intelligence, and interdisciplinary computing.
  • D. Department of Computer Science, Rutgers University
    The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
  • E. Brown University Department of Computer Science
    The Brown University Department of Computer Science is a leading academic and research department known for pioneering work in computer graphics, visualization, and theoretical computer science.
  • 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: Princeton University Department of Computer Science
Triple: [Princeton University faculty, associatedWith, Princeton University Department of Computer Science]
Generated description
The Princeton University Department of Computer Science is a leading academic department renowned for its research and teaching in theoretical and applied computer science within Princeton University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Princeton University Department of Computer Science
Target entity description: The Princeton University Department of Computer Science is a leading academic department renowned for its research and teaching in theoretical and applied computer science within Princeton University.
  • A. Dartmouth College Department of Computer Science
    The Dartmouth College Department of Computer Science is an academic department at Dartmouth College known for its research and teaching in areas such as algorithms, systems, artificial intelligence, and human-computer interaction.
  • B. Cornell University Department of Computer Science
    Cornell University Department of Computer Science is a leading academic department known for its pioneering research and education in areas such as theory, systems, artificial intelligence, and programming languages.
  • C. Department of Computer Science, Columbia University
    The Department of Computer Science at Columbia University is a leading academic and research institution known for its contributions to theoretical computer science, systems, artificial intelligence, and interdisciplinary computing.
  • D. Department of Computer Science, Rutgers University
    The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
  • E. Brown University Department of Computer Science
    The Brown University Department of Computer Science is a leading academic and research department known for pioneering work in computer graphics, visualization, and theoretical computer science.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c674075081909e0819b20bdbb7f4 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09139e7854819098246a47699fdf1f completed May 17, 2026, 1:02 a.m.
NEDg Description generation batch_6a09145a9b0481909086941cdd981e1a completed May 17, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0914f1925081909bce8ad0932c6722 completed May 17, 2026, 1:08 a.m.
Created at: April 16, 2026, 12:45 p.m.