Triple

T13257597
Position Surface form Disambiguated ID Type / Status
Subject Wayne Kramer E315698 entity
Predicate notableWork P4 FINISHED
Object The Cooler E351373 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: The Cooler | Statement: [Wayne Kramer, notableWork, The Cooler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Cooler
Context triple: [Wayne Kramer, notableWork, The Cooler]
  • A. The Cooler chosen
    The Cooler is a 2003 romantic drama film set in a Las Vegas casino, best known for its blend of noir atmosphere and character-driven storytelling.
  • B. Keep Cool
    Keep Cool is a contemporary record label known for signing innovative R&B and pop artists, including Normani.
  • C. The Cool
    The Cool is Lupe Fiasco’s critically acclaimed second studio album, known for its intricate storytelling, conceptual depth, and socially conscious lyricism.
  • D. Cooler than Me
    "Cooler than Me" is a 2010 electropop hit single by American singer-songwriter Mike Posner that gained widespread popularity for its catchy melody and lyrics about envy and insecurity.
  • E. The Cool Wall
    The Cool Wall was a recurring Top Gear segment where the hosts humorously debated and ranked cars on a wall according to their perceived “coolness” rather than performance.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7305c5f8081908bbe19f2a644acc5 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:25 p.m.