Triple

T6870620
Position Surface form Disambiguated ID Type / Status
Subject Frank Wolff E158533 entity
Predicate appearsAlongside P25756 FINISHED
Object MacGregor Houghton E176131 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: MacGregor Houghton | Statement: [Frank Wolff, appearsAlongside, MacGregor Houghton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MacGregor Houghton
Context triple: [Frank Wolff, appearsAlongside, MacGregor Houghton]
  • A. MacGregor Houghton chosen
    MacGregor Houghton is a foppish yet brave and loyal English gentleman who serves as comic relief and emotional heart in Disney's adventure film "Jungle Cruise."
  • B. Glen MacPherson
    Glen MacPherson is a Canadian cinematographer known for his work on action and genre films in both Hollywood and international productions.
  • C. Bruce McCulloch
    Bruce McCulloch is a Canadian actor, writer, and comedian best known as one of the core members of the sketch comedy troupe The Kids in the Hall.
  • D. John MacDougall
    John MacDougall was a Scottish Labour politician who served as a Member of Parliament representing a constituency including Glenrothes.
  • E. Ian Dalrymple
    Ian Dalrymple was a British screenwriter and film producer noted for his acclaimed work in early 20th-century cinema, including an Academy Award-winning screenplay.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8aa47f48190bc7cad3cc652f530 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeb79b9c819084738c207aa5c62d completed March 28, 2026, 3:07 p.m.
Created at: March 27, 2026, 2:22 p.m.