Triple

T17034578
Position Surface form Disambiguated ID Type / Status
Subject Slipknot E413287 entity
Predicate hasFormerMember P1168 FINISHED
Object Craig Jones E1245731 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: Craig Jones | Statement: [Slipknot, hasFormerMember, Craig Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Jones
Context triple: [Slipknot, hasFormerMember, Craig Jones]
  • A. Craig Jones
    Craig Jones is the laid-back, unemployed protagonist of the cult comedy film "Friday," known for his humorous misadventures over the course of a single day in South Central Los Angeles.
  • B. Craig Jones chosen
    Craig Jones is an American musician best known as the sampler and keyboardist for the masked metal band Slipknot.
  • C. BJ Jones
    BJ Jones is an American theater director and actor best known for leading Chicago’s Northlight Theatre as its longtime artistic director.
  • D. Mark Hunt
    Mark Hunt is a New Zealand mixed martial artist and former K-1 kickboxing world champion known for his knockout power and success in heavyweight combat sports.
  • E. Larry Jones
    Larry Jones is a former professional basketball player best known for his high-scoring guard play in the ABA during the late 1960s and early 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f05824819091d2aa02e5591e26 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012336cfd481909f93c6ea7c94b49f completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.