Triple

T15339092
Position Surface form Disambiguated ID Type / Status
Subject Zoolander 2 E366742 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: [Zoolander 2, editedBy, Greg Hayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Hayden
Context triple: [Zoolander 2, 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. Jay Hayden
    Jay Hayden is an American actor best known for his role as firefighter Travis Montgomery on the television drama series "Station 19."
  • C. 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.
  • D. Jeffrey Hayden
    Jeffrey Hayden was an American television and film director known for his extensive work in mid-20th-century TV dramas and variety shows.
  • E. Sam Hayward
    Sam Hayward is an acclaimed American chef best known for his pioneering farm-to-table cuisine and leadership at the renowned Portland, Maine restaurant Fore Street.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff364bafd0819086b8aab1c216c6fa completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:17 a.m.