Triple

T15611133
Position Surface form Disambiguated ID Type / Status
Subject Harold Schuster E375292 entity
Predicate directed P7373 FINISHED
Object The Last of the Badmen E1167054 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: The Last of the Badmen | Statement: [Harold Schuster, directed, The Last of the Badmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Last of the Badmen
Context triple: [Harold Schuster, directed, The Last of the Badmen]
  • A. The Last of the Badmen chosen
    The Last of the Badmen is a mid-20th-century American Western film directed by Harold Schuster.
  • B. Day of the Badman
    Day of the Badman is a 1958 American Western film starring Fred MacMurray as a principled judge facing down outlaws to uphold justice in a frontier town.
  • C. The Lonesome West
    The Lonesome West is a darkly comic stage play by Martin McDonagh that explores the violent, petty rivalry between two brothers in rural Ireland.
  • D. The Last Cowboy
    The Last Cowboy is a 2003 made-for-television Western drama film best known for starring Jennie Garth as a woman struggling to save her late grandfather’s ranch.
  • E. River of No Return
    River of No Return is a 1954 Western adventure film starring Marilyn Monroe and Robert Mitchum, known for its rugged frontier setting and dramatic river-rafting sequences.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3913908190acdd7da62b4f521d completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.