Triple

T10245981
Position Surface form Disambiguated ID Type / Status
Subject Goldmember E240213 entity
Predicate createdBy P806 FINISHED
Object Michael McCullers E303304 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: Michael McCullers | Statement: [Goldmember, createdBy, Michael McCullers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael McCullers
Context triple: [Goldmember, createdBy, Michael McCullers]
  • A. Michael McCullers chosen
    Michael McCullers is an American screenwriter best known for his work on comedy films such as the Austin Powers series and various animated features.
  • B. Michael McCusker
    Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
  • C. Michael McCuistion
    Michael McCuistion is an American composer best known for his work on animated superhero television series and films, including multiple DC Comics adaptations.
  • D. Phil Cunningham
    Phil Cunningham is an English guitarist and keyboardist best known for his work with the band New Order and previously with Marion.
  • E. Chris Ridenhour
    Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22cfe1c8190afae178e11a59b8b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7949f4f1c8190927bd184dd2a7a5a completed April 9, 2026, 11:59 a.m.
Created at: April 6, 2026, 11:26 a.m.