Triple

T21673780
Position Surface form Disambiguated ID Type / Status
Subject Big Hits (High Tide and Green Grass) E534916 entity
Predicate includesTrack P3284 FINISHED
Object Play With Fire 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: Play With Fire | Statement: [Big Hits (High Tide and Green Grass), includesTrack, Play With Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Play With Fire
Context triple: [Big Hits (High Tide and Green Grass), includesTrack, Play With Fire]
  • A. Play With Fire chosen
    "Play With Fire" is a 1965 song by the Rolling Stones, known for its dark, acoustic sound and lyrics critiquing wealth and privilege.
  • B. Playing with Fire
    Playing with Fire is a psychological suspense novel by Tess Gerritsen that intertwines a modern mystery with a haunting historical narrative centered around a disturbing piece of music.
  • C. Playing with Fire
    Playing with Fire is the debut rap album by American entertainer Kevin Federline, released in 2006 to widespread negative reviews and media attention.
  • D. She Played with Fire
    She Played with Fire is a 1957 British mystery thriller film featuring Steve Cochran in a leading role.
  • E. Try Your Fire
    Try Your Fire is a component or section of the larger work "Painted," likely representing a distinct part or feature within that creative piece.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0e06688190a75ea29534f5eed3 completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:41 p.m.