Triple

T3970291
Position Surface form Disambiguated ID Type / Status
Subject Rough Trade Records E92314 entity
Predicate notableFounder P22 FINISHED
Object Geoff Travis E444141 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: Geoff Travis | Statement: [Rough Trade Records, notableFounder, Geoff Travis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoff Travis
Context triple: [Rough Trade Records, notableFounder, Geoff Travis]
  • A. Geoff Travis chosen
    Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
  • B. Stephen Travers
    Stephen Travers is an Irish musician best known as one of the surviving members of the Miami Showband after the 1975 loyalist paramilitary attack in Northern Ireland.
  • C. Graeme Revell
    Graeme Revell is a New Zealand-born composer best known for his atmospheric film scores across genres including horror, action, and science fiction.
  • D. Geoff Petrie
    Geoff Petrie is a former American professional basketball guard best known as an early star for the Portland Trail Blazers and later a longtime NBA executive.
  • E. Neil Travis
    Neil Travis is an American film editor best known for his Academy Award–winning work on "Dances with Wolves" and contributions to numerous major Hollywood films.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9942c908190aface17a4e8d356d completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65f1304b481909715c263a743581d completed March 15, 2026, 7:26 a.m.
Created at: March 9, 2026, 3:32 p.m.