Triple

T13304591
Position Surface form Disambiguated ID Type / Status
Subject Joe Mantell E316903 entity
Predicate appearedIn P795 FINISHED
Object The Garment Jungle E888078 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 Garment Jungle | Statement: [Joe Mantell, appearedIn, The Garment Jungle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Garment Jungle
Context triple: [Joe Mantell, appearedIn, The Garment Jungle]
  • A. The Garment Jungle chosen
    The Garment Jungle is a 1957 film noir–style crime drama set in New York’s garment district, exploring labor racketeering and corruption within the clothing industry.
  • B. The Jacket
    The Jacket is a 2005 psychological thriller film blending elements of mystery and time distortion, starring Adrien Brody and Keira Knightley.
  • C. The Rag Trade
    The Rag Trade is a British television sitcom set in a small clothing factory, known for its sharp social satire and strong female characters.
  • D. The Laundress
    The Laundress is a genre painting by French artist Jean-Baptiste Greuze depicting a young maid engaged in domestic work, noted for its intimate realism and moral undertones.
  • E. The Checkered Coat
    The Checkered Coat is a 1948 American crime drama film featuring actress Wanda Hendrix 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.