Triple

T13011346
Position Surface form Disambiguated ID Type / Status
Subject tt1242545 E322418 entity
Predicate hasCastMember P2308 FINISHED
Object John Henshaw E408750 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 Henshaw | Statement: [tt1242545, hasCastMember, John Henshaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Henshaw
Context triple: [tt1242545, hasCastMember, John Henshaw]
  • A. John Henshaw chosen
    John Henshaw is a British actor known for his character roles in film and television, including a prominent part in the Ken Loach-directed film "Looking for Eric."
  • B. George Haines
    George Haines was a renowned American swimming coach best known for developing numerous Olympic champions and elevating U.S. competitive swimming in the mid-20th century.
  • C. Henry McHenry
    Henry McHenry is an American paleoanthropologist and professor known for his research on human evolution, particularly the biomechanics and locomotion of early hominins.
  • D. Michael Holbrook
    Michael Holbrook is a personal name most notably associated with individuals in English-speaking countries, sometimes appearing as a given and family name combination.
  • E. Frank Hackett
    Frank Hackett is a ruthless, ratings-obsessed television executive in the 1976 film "Network," emblematic of the media’s turn toward sensationalism and exploitation.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9e14b88190a2cee8e0c9bf31c8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9a12008190a86d8e11bf86d536 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 8:49 p.m.