Triple

T6064825
Position Surface form Disambiguated ID Type / Status
Subject Purdue Boilermakers men's basketball E135129 entity
Predicate notableCoach P550 FINISHED
Object Gene Keady E163010 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: Gene Keady | Statement: [Purdue Boilermakers men's basketball, notableCoach, Gene Keady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Keady
Context triple: [Purdue Boilermakers men's basketball, notableCoach, Gene Keady]
  • A. Gene Keady chosen
    Gene Keady is a highly respected American college basketball coach best known for his long, successful tenure leading the Purdue Boilermakers.
  • B. Donald Malarkey
    Donald Malarkey was a real-life U.S. Army paratrooper of Easy Company, 506th Parachute Infantry Regiment, whose World War II service was famously depicted in the miniseries "Band of Brothers."
  • C. Gerald Geraghty
    Gerald Geraghty was an American screenwriter known for his work on mid-20th-century Western films.
  • D. Dennis McCarthy
    Dennis McCarthy is an American composer best known for his extensive work scoring multiple Star Trek television series and films.
  • E. Tom Kelly
    Tom Kelly is an American songwriter best known for co-writing numerous pop hits of the 1980s and 1990s, often in collaboration with Billy Steinberg.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05723c91c819090b4d4672e72f9f3 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12520dfa4819080578766a070b98b completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:10 p.m.