Triple

T6249578
Position Surface form Disambiguated ID Type / Status
Subject Bride Wars E140012 entity
Predicate producer P490 FINISHED
Object Alan Riche E577968 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: Alan Riche | Statement: [Bride Wars, producer, Alan Riche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Riche
Context triple: [Bride Wars, producer, Alan Riche]
  • A. Alan Riche chosen
    Alan Riche is a film producer known for his work on major Hollywood projects, including action-adventure and genre films.
  • B. Dan Rowan
    Dan Rowan was an American comedian and television host best known as one half of the comedy duo Rowan & Martin, which fronted the groundbreaking sketch series "Rowan & Martin's Laugh-In."
  • C. Cliff DeYoung
    Cliff DeYoung is an American actor and musician known for his work in film, television, and stage since the 1970s.
  • D. Alan Howarth
    Alan Howarth is an American composer and sound designer best known for co-creating and expanding the iconic synthesizer-driven scores of many John Carpenter horror and science fiction films.
  • E. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633c5f2081909b0246e061f8a7d9 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d17de1c8190a1f09c9e00860bcd completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:24 p.m.