Triple

T11667539
Position Surface form Disambiguated ID Type / Status
Subject William Witney E277290 entity
Predicate directed P7373 FINISHED
Object The Golden Stallion E59208 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 Golden Stallion | Statement: [William Witney, directed, The Golden Stallion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Golden Stallion
Context triple: [William Witney, directed, The Golden Stallion]
  • A. The Golden Stallion chosen
    The Golden Stallion is a 1949 Western film starring singing cowboy Roy Rogers and his famous horse Trigger, blending action, music, and adventure.
  • B. The Silver Stallion
    The Silver Stallion is a satirical fantasy novel by James Branch Cabell set in his mythical realm of Poictesme, known for its ironic treatment of chivalry and heroism.
  • C. The Man in the Saddle
    The Man in the Saddle is a film associated with American actor and comedian Eddie Bracken, known for his work in mid-20th-century cinema.
  • D. The Ebony Horse
    The Ebony Horse is a fantastical tale from The Arabian Nights about a magical mechanical steed that can fly its rider to distant lands, blending romance, adventure, and wonder.
  • E. The Saddle Buster
    The Saddle Buster is a Western film featuring actor Tom Keene in a leading role.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82e252fc819082b5c8a33fcf861a completed April 27, 2026, 3:38 p.m.
Created at: April 8, 2026, 9:39 p.m.