Triple

T23190887
Position Surface form Disambiguated ID Type / Status
Subject The Block E579728 entity
Predicate hasPart P35 FINISHED
Object Lights, Camera, Action 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: Lights, Camera, Action | Statement: [The Block, hasPart, Lights, Camera, Action]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lights, Camera, Action
Context triple: [The Block, hasPart, Lights, Camera, Action]
  • A. Lights, Camera, Action! chosen
    "Lights, Camera, Action!" is a hip hop single by rapper Mr. Cheeks, best known for its catchy party vibe and early-2000s club popularity.
  • B. Lights...Camera...Revolution!
    Lights...Camera...Revolution! is a 1990 crossover thrash album by Suicidal Tendencies that marked a shift toward more melodic and technically complex songwriting.
  • C. Make a Movie
    Make a Movie is a special feature that guides viewers through the filmmaking process behind the creation of "The Perfect Storm."
  • D. Making Movies
    Making Movies is a widely respected memoir and craft-focused book in which acclaimed film director Sidney Lumet explains his practical approach to filmmaking.
  • E. Making Movies
    Making Movies is a 1980 rock album by Dire Straits known for its cinematic songwriting and tracks like "Romeo and Juliet" and "Tunnel of Love."
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd777c08190bf79e38844fedf27 completed April 29, 2026, 4:57 a.m.
Created at: April 17, 2026, 4:05 p.m.