Triple

T14702381
Position Surface form Disambiguated ID Type / Status
Subject John Saxon E345337 entity
Predicate notableWork P4 FINISHED
Object The Appaloosa E731421 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 Appaloosa | Statement: [John Saxon, notableWork, The Appaloosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Appaloosa
Context triple: [John Saxon, notableWork, The Appaloosa]
  • A. The Appaloosa chosen
    The Appaloosa is a 1966 Western film starring Marlon Brando as a wandering cowboy who helps a Mexican family reclaim their prized horse from a ruthless bandit.
  • B. Appaloosa
    Appaloosa is a Western novel by Robert B. Parker that follows two lawmen hired to bring order to a violent frontier town.
  • C. Spotted Horses
    "Spotted Horses" is a comic short story by William Faulkner about a chaotic auction of wild ponies in a small Southern town, showcasing his trademark blend of dark humor and regional character.
  • D. Marly Horses
    Marly Horses is a famous pair of dynamic marble sculptures depicting rearing horses and their handlers, created in the 18th century by French sculptor Guillaume Coustou the Elder.
  • E. October Horse
    October Horse was an ancient Roman ritual involving the sacrifice of a horse to Mars, associated with military prowess and seasonal agricultural cycles.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0861c308190af0b5da403ecb321 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.