Triple

T11433980
Position Surface form Disambiguated ID Type / Status
Subject Prey (2017 video game) E270957 entity
Predicate composer P1361 FINISHED
Object Mick Gordon E914258 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: Mick Gordon | Statement: [Prey (2017 video game), composer, Mick Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mick Gordon
Context triple: [Prey (2017 video game), composer, Mick Gordon]
  • A. Mick Gordon chosen
    Mick Gordon is an Australian composer and sound designer best known for his heavy, industrial-style scores for video games such as Doom, Wolfenstein, and Prey.
  • B. Ed O’Brien
    Ed O’Brien is an English guitarist and backing vocalist best known as a member of the alternative rock band Radiohead.
  • C. Mike Mangini
    Mike Mangini is an American drummer renowned for his technical precision and speed, best known as the longtime drummer for the progressive metal band Dream Theater.
  • D. Mitchell Froom
    Mitchell Froom is an American record producer and musician known for his innovative, atmospheric work with artists such as Crowded House, Suzanne Vega, and Los Lobos.
  • E. Mark Aronoff
    Mark Aronoff is an American linguist renowned for his influential work in morphology and for his long-standing role as a professor at Stony Brook University.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d379f8d48190860a1ef98505c42e completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.