Triple

T22481798
Position Surface form Disambiguated ID Type / Status
Subject Bruford E555783 entity
Predicate hasMember P10 FINISHED
Object John Clark NE NERFINISHED

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: John Clark | Statement: [Bruford, hasMember, John Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Clark
Context triple: [Bruford, hasMember, John Clark]
  • A. John Clark chosen
    John Clark is a jazz French horn player best known for his work in fusion and contemporary jazz ensembles, including his tenure with the Mahavishnu Orchestra.
  • B. John Clark
    John Clark is a former Scottish footballer best known as a vital member of Celtic FC’s legendary 1967 European Cup–winning "Lisbon Lions" team.
  • C. John Clark
    John Clark is a highly skilled and ruthless covert operative in Tom Clancy’s Jack Ryan universe, known for his expertise in special operations and intelligence work.
  • D. John Clark
    John Clark was an English actor and director best known for his long marriage and professional collaborations with actress Lynn Redgrave.
  • E. John Clark
    John Clark is the middle-aged, discontented Chicago lawyer who secretly takes ballroom dance lessons and undergoes a personal awakening in the 2004 romantic comedy film "Shall We Dance?".
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c397b248190b36c2fbfa6489693 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.