Triple

T22014625
Position Surface form Disambiguated ID Type / Status
Subject The Point Men E543675 entity
Predicate director P255 FINISHED
Object John Glen — 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 Glen | Statement: [The Point Men, director, John Glen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Glen
Context triple: [The Point Men, director, John Glen]
  • A. John Glen chosen
    John Glen is a British film director best known for directing five James Bond movies during the 1980s.
  • B. John Glen
    John Glen is a British Conservative Party politician who has served as the Member of Parliament for Salisbury and has held ministerial roles in the UK government.
  • C. John Glynn
    John Glynn was an 18th-century English lawyer and politician whose prominence led to Glynn County in Georgia being named in his honor.
  • D. John Campion
    John Campion was the husband of New Zealand actress and writer Edith Campion, associated with the country’s mid-20th-century literary and theatrical circles.
  • E. John Campion
    John Campion is a British Conservative politician who serves as the elected Police and Crime Commissioner for the West Mercia Police area.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.