Triple

T4456118
Position Surface form Disambiguated ID Type / Status
Subject John Chancellor E97727 entity
Predicate name P16 FINISHED
Object John Chancellor E97727 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: John Chancellor | Statement: [John Chancellor, name, John Chancellor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Chancellor
Context triple: [John Chancellor, name, John Chancellor]
  • A. John Chancellor
    John Chancellor was a British colonial administrator and diplomat who served in several high-ranking imperial posts during the early 20th century.
  • B. John Chancellor chosen
    John Chancellor was a prominent American television journalist and news anchor best known for his long tenure as a leading figure in network evening news during the mid-20th century.
  • C. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • D. Mick Audsley
    Mick Audsley is a British film editor known for his work on numerous major feature films, including collaborations with directors like Terry Gilliam and Stephen Frears.
  • E. Phil Collinson
    Phil Collinson is a British television producer best known for his work on the revived era of Doctor Who.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3564216b081908c41109100b36862 completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6282743e08190a2c84f3b80c6d260 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:33 p.m.