Triple

T3341794
Position Surface form Disambiguated ID Type / Status
Subject Tropic Thunder E70275 entity
Predicate editedBy P1954 FINISHED
Object Greg Hayden E254990 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: Greg Hayden | Statement: [Tropic Thunder, editedBy, Greg Hayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Hayden
Context triple: [Tropic Thunder, editedBy, Greg Hayden]
  • A. Greg Hayden chosen
    Greg Hayden is a film editor best known for his work on major comedy features, including the Austin Powers series.
  • B. Steve Hayden
    Steve Hayden is an acclaimed advertising copywriter best known for co-creating Apple’s iconic “1984” Super Bowl commercial that helped redefine modern advertising.
  • C. Jo Hayden
    Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
  • D. Jonathan Hunt
    Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
  • E. Alex Hannum
    Alex Hannum was an American professional basketball coach and former player best known for leading multiple teams, including the St. Louis Hawks and Philadelphia 76ers, to NBA championships.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1ee711481909c0d921f1b5b8562 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bb819688190bb6198ac43f48449 completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:12 p.m.