Triple

T16567423
Position Surface form Disambiguated ID Type / Status
Subject Abe E402498 entity
Predicate givenName P17 FINISHED
Object Creighton E402493 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: Creighton | Statement: [Abe, givenName, Creighton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Creighton
Context triple: [Abe, givenName, Creighton]
  • A. Creighton chosen
    Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
  • B. Creighton University
    Creighton University is a private Jesuit university known for its strong programs in health sciences, business, and law.
  • C. Widener
    Widener is an American surname most prominently associated with a wealthy Philadelphia family known for their influence in business, philanthropy, and the arts.
  • D. Butler University
    Butler University is a private liberal arts university located in Indianapolis, Indiana, known for its strong academic programs and active campus life.
  • E. Doane
    Doane is a surname most notably associated with William Croswell Doane, the first Episcopal Bishop of Albany and a prominent 19th-century American church leader.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759424348190889dacbbc7435238 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.