Triple

T7943728
Position Surface form Disambiguated ID Type / Status
Subject Ride E184448 entity
Predicate hasFormerMember P1168 FINISHED
Object Laurence Colbert E699547 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: Laurence Colbert | Statement: [Ride, hasFormerMember, Laurence Colbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurence Colbert
Context triple: [Ride, hasFormerMember, Laurence Colbert]
  • A. Laurence Colbert chosen
    Laurence Colbert is a British drummer best known for his work with the Oxford-based rock band Ride.
  • B. Martin Colbert
    Martin Colbert is a fictional character in Willa Cather’s novel "Sapphira and the Slave Girl," involved in the complex social and moral dynamics of antebellum Virginia.
  • C. Laurence Laurentz
    Laurence Laurentz is a fussy, highbrow British film director in the Coen brothers’ movie "Hail, Caesar!" known for his exasperated attempts to work with a miscast cowboy star.
  • D. Roger Devereau
    Roger Devereau is the central protagonist of the comedy-thriller film "Silver Streak," around whom the movie’s train-bound mystery and adventure revolve.
  • E. Arthur Aylesworth
    Arthur Aylesworth was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0e84448190a7e8e0749776a592 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe024a7dc8190a8bd11f266ebbc96 completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:09 p.m.