Triple

T20472530
Position Surface form Disambiguated ID Type / Status
Subject Without Limits E502227 entity
Predicate writer P1360 FINISHED
Object Kenny Moore 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: Kenny Moore | Statement: [Without Limits, writer, Kenny Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenny Moore
Context triple: [Without Limits, writer, Kenny Moore]
  • A. Kenny Moore chosen
    Kenny Moore was an American distance runner, journalist, and author who co-wrote the film "Without Limits" and was renowned for his coverage of track and field.
  • B. Dan Smoot
    Dan Smoot was an American conservative commentator and former FBI agent known for his influential anti-communist broadcasts and publications during the mid-20th century.
  • C. Dan Harkins
    Dan Harkins is a computer security researcher and cryptographer known for designing and contributing to widely used key exchange and authentication protocols.
  • D. Larry Kehres
    Larry Kehres is a highly successful American college football coach best known for leading the University of Mount Union to multiple NCAA Division III national championships and establishing one of the most dominant programs in the sport’s history.
  • E. Dennis Moore
    Dennis Moore was an American actor active in the 1930s and 1940s, best known for his roles in Westerns and horror films.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69962d810819091bb13fe73250e24 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.