Triple

T19630401
Position Surface form Disambiguated ID Type / Status
Subject The Persian Jacket E471250 entity
Predicate title P38 FINISHED
Object The Persian 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 Persian Jacket | Statement: [The Persian Jacket, title, The Persian Jacket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Persian Jacket
Context triple: [The Persian Jacket, title, The Persian Jacket]
  • A. The Persian Jacket chosen
    The Persian Jacket is a prominent abstract expressionist painting by American artist Grace Hartigan, reflecting her bold use of color and dynamic, gestural style.
  • B. 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.
  • C. The Checkered Coat
    The Checkered Coat is a 1948 American crime drama film featuring actress Wanda Hendrix in a leading role.
  • D. The Jacket
    The Jacket is a 2005 psychological thriller film blending elements of mystery and time distortion, starring Adrien Brody and Keira Knightley.
  • E. The Tuxedo
    The Tuxedo is a 2002 action-comedy film starring Jackie Chan as a chauffeur who gains extraordinary abilities from a high-tech tuxedo, with Jennifer Love Hewitt co-starring as his partner.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641025d708190aa44bb24671b9455 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.