Triple

T21074619
Position Surface form Disambiguated ID Type / Status
Subject John Boulting E519197 entity
Predicate notableWork P4 FINISHED
Object The Rainbow Jacket 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: The Rainbow Jacket | Statement: [John Boulting, notableWork, The Rainbow Jacket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rainbow Jacket
Context triple: [John Boulting, notableWork, The Rainbow Jacket]
  • A. The Rainbow Jacket chosen
    The Rainbow Jacket is a 1954 British drama film set in the world of horse racing, directed by Basil Dearden and known for its exploration of corruption and redemption on the turf.
  • B. The Checkered Coat
    The Checkered Coat is a 1948 American crime drama film featuring actress Wanda Hendrix in a leading role.
  • C. The Jacket
    The Jacket is a 2005 psychological thriller film blending elements of mystery and time distortion, starring Adrien Brody and Keira Knightley.
  • D. The Scarf
    The Scarf is a psychological horror novel by Robert Bloch that follows a disturbed writer whose murderous impulses are symbolized by a sinister red scarf.
  • E. The Rainbow
    The Rainbow is a seascape painting by Russian-Armenian Romantic artist Ivan Aivazovsky, celebrated for its dramatic depiction of light, atmosphere, and the power of the sea.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d5ae908190ab5303e39443d729 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.