Triple

T16105693
Position Surface form Disambiguated ID Type / Status
Subject Wayne Wang E390732 entity
Predicate notableWork P4 FINISHED
Object Blue in the Face E622139 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: Blue in the Face | Statement: [Wayne Wang, notableWork, Blue in the Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue in the Face
Context triple: [Wayne Wang, notableWork, Blue in the Face]
  • A. Blue in the Face chosen
    Blue in the Face is a 1995 Brooklyn-set comedy film co-directed by Paul Auster and Wayne Wang, serving as a loose, improvisational companion piece to their earlier movie Smoke.
  • B. Blue on Blue
    "Blue on Blue" is a 1963 pop ballad by American singer Bobby Vinton that became one of his signature hits.
  • C. Burning Blue
    Burning Blue is a 2013 drama film about U.S. Navy fighter pilots whose careers and relationships are tested when a forbidden romance and a series of accidents spark a military investigation.
  • D. Grinnin’ in Your Face
    Grinnin’ in Your Face is a stark, a cappella Delta blues song by Son House, celebrated for its raw vocal power and haunting emotional intensity.
  • E. Black and Blue
    Black and Blue is a crime novel by Scottish author Ian Rankin featuring detective Inspector Rebus as he investigates a series of complex and gritty cases in Edinburgh.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba1e4c08190a90f5102e0038056 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.