Triple

T12420877
Position Surface form Disambiguated ID Type / Status
Subject Rochelle Aytes E296765 entity
Predicate hasActedIn P15620 FINISHED
Object Detroit 1-8-7 E777781 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: Detroit 1-8-7 | Statement: [Rochelle Aytes, hasActedIn, Detroit 1-8-7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Detroit 1-8-7
Context triple: [Rochelle Aytes, hasActedIn, Detroit 1-8-7]
  • A. Detroit 1-8-7 chosen
    Detroit 1-8-7 is an American police procedural television series set in Detroit that follows homicide detectives as they investigate murders in the city.
  • B. Detroit 300
    Detroit 300 was a civic organization formed to plan and promote events commemorating the 300th anniversary of the city of Detroit.
  • C. Detroit Fury
    Detroit Fury was an Arena Football League team based in the Detroit metropolitan area that competed in the early 2000s.
  • D. Bedrock Detroit
    Bedrock Detroit is a real estate firm known for its large-scale investments and redevelopment projects in downtown Detroit, Michigan.
  • E. Detroit 2
    Detroit 2 is a 2020 studio album by American rapper Big Sean that serves as a sequel to his acclaimed Detroit mixtape, featuring introspective lyrics and high-profile collaborations.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634933b9881909fd592ede7c3e49c completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.