Triple

T16953030
Position Surface form Disambiguated ID Type / Status
Subject Imagine E411229 entity
Predicate hasTrack P3284 FINISHED
Object Face to Face E1214373 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: Face to Face | Statement: [Imagine, hasTrack, Face to Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Face to Face
Context triple: [Imagine, hasTrack, Face to Face]
  • A. Face to Face
    "Face to Face" is a studio album by Irish boy band Westlife, known for its pop ballads and chart-topping singles.
  • B. Face to Face chosen
    Face to Face is an American punk rock band known for its melodic, skate-punk sound and influential role in the 1990s Southern California punk scene.
  • C. Face to Face
    Face to Face is a 1966 studio album by the Kinks that marked the band's shift toward more sophisticated, narrative-driven pop songwriting.
  • D. Face to Face
    Face to Face is a 1976 psychological drama film directed by Ingmar Bergman, renowned for Liv Ullmann’s intense portrayal of a psychiatrist undergoing a mental breakdown.
  • E. Face 2 Face
    Face 2 Face is a large-scale global street art project by French artist JR that juxtaposes monumental black-and-white portraits in public spaces to challenge perceptions of identity and social boundaries.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01a4ae8819085a6ce01fbc71b0f completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46213b08190b33b48d12bc795d1 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.