Triple

T6009456
Position Surface form Disambiguated ID Type / Status
Subject Bertha E133795 entity
Predicate hasNotableLiveAlbumAppearance P24795 FINISHED
Object Steal Your Face E556292 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: Steal Your Face | Statement: [Bertha, hasNotableLiveAlbumAppearance, Steal Your Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steal Your Face
Context triple: [Bertha, hasNotableLiveAlbumAppearance, Steal Your Face]
  • A. Steal Your Face chosen
    Steal Your Face is a live double album by the Grateful Dead, recorded during their mid-1970s performances and released in 1976.
  • B. Broken Face
    "Broken Face" is a raw, punk-influenced track by the Pixies, featured on their influential 1988 album *Surfer Rosa*.
  • C. Two Faces
    Two Faces is a song by Bruce Springsteen from his 1987 album "Tunnel of Love," reflecting themes of inner conflict and emotional duality.
  • D. Saving Face
    "Saving Face" is a 2004 romantic comedy-drama film directed by Alice Wu that explores intergenerational and cultural tensions within a Chinese American community through the story of a closeted lesbian surgeon and her traditional mother.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560bae148190ad4755defaaf471b completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1089bd870819096c0f6c7cf484c50 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.