Triple

T10400483
Position Surface form Disambiguated ID Type / Status
Subject Tom Gries E245131 entity
Predicate directed P7373 FINISHED
Object Will Penny E861651 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: Will Penny | Statement: [Tom Gries, directed, Will Penny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Penny
Context triple: [Tom Gries, directed, Will Penny]
  • A. Will Penny chosen
    Will Penny is a 1967 Western film starring Charlton Heston as an aging cowboy facing loneliness and change in the fading American frontier.
  • B. John Dollar
    John Dollar is a novel by American author Marianne Wiggins, known for its haunting, literary exploration of colonialism, survival, and power dynamics in the early 20th century.
  • C. Paul Penney
    Paul Penney was a son of American businessman and J.C. Penney founder James Cash Penney.
  • D. Jack Pennick
    Jack Pennick was an American character actor best known for his frequent appearances in John Ford films, often portraying rugged military or frontier figures.
  • E. Bob Wiley
    Bob Wiley is a neurotic but endearing patient whose obsessive dependence on his psychiatrist drives the comedic plot of the film "What About Bob?".
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e84f7a08190b83ecfec72efb7a7 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:07 p.m.