Triple

T22947013
Position Surface form Disambiguated ID Type / Status
Subject The Island Stallion E569901 entity
Predicate author P4 FINISHED
Object Walter Farley NE NERFINISHED

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: Walter Farley | Statement: [The Island Stallion, author, Walter Farley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Farley
Context triple: [The Island Stallion, author, Walter Farley]
  • A. Walter Farley chosen
    Walter Farley was an American author best known for his popular "Black Stallion" series of children's horse novels.
  • B. James Norman Hall
    James Norman Hall was an American author and World War I veteran best known for co-writing the classic historical novel "Mutiny on the Bounty" and its sequels.
  • C. Dick King-Smith
    Dick King-Smith was a British children's author best known for his animal-themed novels, including "The Sheep-Pig," which inspired the film "Babe."
  • D. Lloyd Alexander
    Lloyd Alexander was an American author best known for his fantasy series "The Chronicles of Prydain," which drew on Welsh mythology and inspired the film adaptation "The Black Cauldron."
  • E. Jack Kinney
    Jack Kinney was an American animator and director best known for his work on classic Disney cartoons and feature segments during the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819e559c81909e63acfc23f9476b completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.