Triple

T6828216
Position Surface form Disambiguated ID Type / Status
Subject Paul Auster E157067 entity
Predicate wroteScreenplayFor P15305 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: [Paul Auster, wroteScreenplayFor, Blue in the Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue in the Face
Context triple: [Paul Auster, wroteScreenplayFor, 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. 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.
  • C. Black and Blue
    "Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
  • D. Black and Blue
    "Black and Blue" is a 1976 studio album by The Rolling Stones that showcases the band's transition into funk, reggae, and disco-influenced rock following the departure of guitarist Mick Taylor.
  • E. Yellow Face
    Yellow Face is a satirical play by David Henry Hwang that explores racial identity, representation, and Asian American experiences in the theater industry.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6254bd88190a2a424537c2c12e2 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fab60708190825876e5715c0cc4 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:18 p.m.