Triple

T10750939
Position Surface form Disambiguated ID Type / Status
Subject Cruising E253568 entity
Predicate castMember P1668 FINISHED
Object Mike Starr E36957 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: Mike Starr | Statement: [Cruising, castMember, Mike Starr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Starr
Context triple: [Cruising, castMember, Mike Starr]
  • A. Mike Starr chosen
    Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
  • B. Mike Starr
    Mike Starr was an American bassist best known as the original bass player for the Seattle grunge band Alice in Chains.
  • C. Michael Starrbury
    Michael Starrbury is an American screenwriter and producer best known for his work on socially conscious film and television projects, including co-writing Ava DuVernay’s acclaimed miniseries "When They See Us."
  • D. Ron Starr
    Ron Starr is an American actor best known for his role in the classic Western film "Ride the High Country."
  • E. Mike Starrs
    Mike Starrs is a Scottish rock singer best known for his work with bands such as Colosseum II and Lucifer's Friend in the 1970s.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc0ad188190b747bf9d10cf5de5 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23292f8c8190a52c94c03e7d476d completed April 14, 2026, 11:21 a.m.
Created at: April 8, 2026, 9:15 p.m.