Triple

T23547781
Position Surface form Disambiguated ID Type / Status
Subject Whitney Survey field parties E577951 entity
Predicate notableMember P10 FINISHED
Object Charles F. Hoffmann
Charles F. Hoffmann was a 19th-century German-American topographical engineer and cartographer known for his pioneering survey work in the Sierra Nevada with the Whitney Survey.
E2292459 NE FINISHED

How this triple was built (2 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: Charles F. Hoffmann | Statement: [Whitney Survey field parties, notableMember, Charles F. Hoffmann]
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: Charles F. Hoffmann
Triple: [Whitney Survey field parties, notableMember, Charles F. Hoffmann]
Generated description
Charles F. Hoffmann was a 19th-century German-American topographical engineer and cartographer known for his pioneering survey work in the Sierra Nevada with the Whitney Survey.

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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aecc2af08190aec07cf9126d4e72 completed April 29, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a799969af6881908fe2ef003d3e30ee completed Aug. 10, 2026, 9:27 a.m.
NEDg Description generation batch_6a799a4dda9c81908d11d515d35c6d48 completed Aug. 10, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_6a799a9f2f00819098677733c659afe4 completed Aug. 10, 2026, 9:32 a.m.
Created at: April 17, 2026, 6:11 p.m.