Triple

T23067131
Position Surface form Disambiguated ID Type / Status
Subject Okay, Oklahoma, United States E575075 entity
Predicate isBirthplaceOf P1 FINISHED
Object Lou Henson 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: Lou Henson | Statement: [Okay, Oklahoma, United States, isBirthplaceOf, Lou Henson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Henson
Context triple: [Okay, Oklahoma, United States, isBirthplaceOf, Lou Henson]
  • A. Lou Henson chosen
    Lou Henson was a highly respected American college basketball coach best known for his long, successful tenures at New Mexico State and the University of Illinois, where he became one of the winningest coaches in NCAA history.
  • B. A. Roger Merrill
    A. Roger Merrill is a leadership and time-management expert best known as the co-author of the influential productivity book "First Things First."
  • C. Jerry Davis
    Jerry Davis is a film and television producer known for his work with Epic.
  • D. Rich Moore
    Rich Moore is an American animation director and filmmaker best known for his work on acclaimed Disney films such as "Zootopia" and "Wreck-It Ralph."
  • E. Charles Walters
    Charles Walters was an American film director and choreographer best known for his work on classic MGM musicals in the mid-20th century.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a4e2fc81909704333306737f80 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.