Triple

T17492759
Position Surface form Disambiguated ID Type / Status
Subject Till I Get It Right E425966 entity
Predicate writer P1360 FINISHED
Object Larry Henley 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: Larry Henley | Statement: [Till I Get It Right, writer, Larry Henley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Henley
Context triple: [Till I Get It Right, writer, Larry Henley]
  • A. Larry Henley chosen
    Larry Henley was an American singer and songwriter best known for co-writing the hit ballad "Wind Beneath My Wings."
  • B. Anthony McHenry
    Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
  • C. James Henaghan
    James Henaghan was an American writer and publicist best known for his marriage to celebrated Broadway dancer and actress Gwen Verdon.
  • D. Jeff Henry
    Jeff Henry is an American water park designer and co-owner of Schlitterbahn, known for creating ambitious and controversial attractions including the Verrückt water slide.
  • E. John Henshaw
    John Henshaw is a British actor known for his character roles in film and television, including a prominent part in the Ken Loach-directed film "Looking for Eric."
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d6bd548190b4c6fae27c2a9ae8 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.