Triple

T23474677
Position Surface form Disambiguated ID Type / Status
Subject William K. Lanman Jr. E570225 entity
Predicate hasGivenTo P2329 FINISHED
Object Yale University NE NERFINISHED

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: [William K. Lanman Jr., hasGivenTo, Yale University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yale University
Context triple: [William K. Lanman Jr., hasGivenTo, 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 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.
  • C. Yale
    "Yale" is a popular track by American rapper Ken Carson, known for its aggressive delivery and distorted, hypertrap production style.
  • D. Yale
    Yale is a small unincorporated community located in Kansas, United States.
  • E. Yale
    Yale is a widely used romanization system for Cantonese Chinese that represents Cantonese sounds with the Latin alphabet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a704e2a48190acb55f77a2124412 completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 6 p.m.