Triple

T13636085
Position Surface form Disambiguated ID Type / Status
Subject Sterling family E325851 entity
Predicate notableDonationRecipient P15853 FINISHED
Object Yale University E20701 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: Yale University | Statement: [Sterling family, notableDonationRecipient, Yale University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yale University
Context triple: [Sterling family, notableDonationRecipient, Yale University]
  • A. Yale University chosen
    Yale University is an Ivy League research university in New Haven, Connecticut, renowned for its prestigious academic programs, historic campus, and influential alumni.
  • B. Yale
    Yale is a widely used romanization system for Cantonese Chinese that represents Cantonese sounds with the Latin alphabet.
  • C. Yale
    Yale is a historic town in British Columbia, Canada, that served as a key hub during the Cariboo Gold Rush and the construction of the Canadian Pacific Railway.
  • D. Yale
    Yale is a small unincorporated community located in Kansas, United States.
  • E. Yale College
    Yale College is the undergraduate liberal arts college of Yale University, offering a broad curriculum within a residential college system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6442d5c8190820d473073a3c4c6 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:51 p.m.