Triple

T15821010
Position Surface form Disambiguated ID Type / Status
Subject Shine (film score) E383606 entity
Predicate forWork P12692 FINISHED
Object Shine (1996 film) E1049434 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: Shine (1996 film) | Statement: [Shine (film score), forWork, Shine (1996 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shine (1996 film)
Context triple: [Shine (film score), forWork, Shine (1996 film)]
  • A. film "Shine" chosen
    The film "Shine" is a biographical drama about Australian pianist David Helfgott, depicting his prodigious talent, mental health struggles, and eventual return to performing.
  • B. Shine
    Shine is a musical artist known for performing the track "So Much Out the Way."
  • C. Shine
    "Shine" is an early EP by the Seattle rock band Mother Love Bone that helped establish their influential role in the emerging grunge scene.
  • D. Shine
    "Shine" is a track from Lil Wayne’s acclaimed album *Tha Carter*, showcasing his introspective lyricism and distinctive Southern hip-hop style.
  • E. Shine
    "Shine" is a country music studio album by American singer Martina McBride, showcasing her powerful vocals and contemporary country-pop style.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a7ba4881908a2747bf063d79f1 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99999c2c8190b1838aed40e12061 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.