Triple

T10129755
Position Surface form Disambiguated ID Type / Status
Subject Terry O’Reilly E226305 entity
Predicate givenName P17 FINISHED
Object Terrance E610601 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: Terrance | Statement: [Terry O’Reilly, givenName, Terrance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrance
Context triple: [Terry O’Reilly, givenName, Terrance]
  • A. Terrance chosen
    Terrance is the given first name of Terry Sawchuk, the legendary Canadian Hall of Fame NHL goaltender.
  • B. Terrell
    Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
  • C. Terrell
    Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
  • D. Terius Nash
    Terius Nash, better known by his stage name The-Dream, is an American singer, songwriter, and record producer renowned for crafting numerous contemporary R&B and pop hits.
  • E. Terrence Jenkins
    Terrence Jenkins, better known as Terrence J, is an American actor, television host, and entertainment personality recognized for co-hosting BET's "106 & Park" and appearing in films like "Think Like a Man."
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33438988190be45878f98695816 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc7c50b08190a04aa2f58a6c300a completed April 5, 2026, 8:56 p.m.
Created at: March 30, 2026, 9:05 p.m.