Triple

T16672240
Position Surface form Disambiguated ID Type / Status
Subject Smoke & Mirrors E405132 entity
Predicate hasTrack P3284 FINISHED
Object All In E538138 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: All In | Statement: [Smoke & Mirrors, hasTrack, All In]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All In
Context triple: [Smoke & Mirrors, hasTrack, All In]
  • A. All In chosen
    "All In" is a track by Kid Cudi from his album "Passion, Pain & Demon Slayin'" that showcases his introspective lyrics and atmospheric, melodic production.
  • B. All In
    All In is a Christian worship album by the band Amplified, featuring contemporary praise songs centered on themes of faith and devotion.
  • C. All In
    All In is a popular South Korean television drama series centered on high-stakes gambling, romance, and crime, which significantly boosted actor Byung-hun Lee’s fame.
  • D. Now is All
    "Now is All" is the official slogan associated with Laʼeeb, the mascot of the 2022 FIFA World Cup in Qatar, emphasizing living fully in the present moment.
  • E. Above All
    "Above All" is a widely known contemporary Christian worship song, popularized by Michael W. Smith for its reflective lyrics on the supremacy and sacrifice of Jesus.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca175088190a0435422e13278c2 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3916508190bd5edd91310ddb5a completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.