Triple

T19667457
Position Surface form Disambiguated ID Type / Status
Subject Motion Pictures (For Carrie) E472236 entity
Predicate trackOn P35590 FINISHED
Object Silver & Gold NE NERFINISHED

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: Silver & Gold | Statement: [Motion Pictures (For Carrie), trackOn, Silver & Gold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver & Gold
Context triple: [Motion Pictures (For Carrie), trackOn, Silver & Gold]
  • A. Silver & Gold chosen
    Silver & Gold is an album, likely in the indie or alternative genre, known for including the track "Motion Pictures (For Carrie)."
  • B. Silver and Gold
    "Silver and Gold" is a popular Christmas song written by Johnny Marks, best known from its appearance in the 1964 Rankin/Bass television special "Rudolph the Red-Nosed Reindeer."
  • C. Silver and Gold
    "Silver and Gold" is a blues-rock song by U2, originally written in support of the anti-apartheid movement and later featured on their album and film project *Rattle and Hum*.
  • D. Solid Silver
    Solid Silver is a 1975 reunion album by the San Francisco psychedelic rock band Quicksilver Messenger Service.
  • E. Star Gold
    Star Gold is an Indian Hindi-language movie television channel known for broadcasting a wide range of Bollywood films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641694e448190bc734c07ae2df024 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.