Triple

T15305962
Position Surface form Disambiguated ID Type / Status
Subject Thin Man Films E365897 entity
Predicate notableWork P4 FINISHED
Object All or Nothing E151497 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 or Nothing | Statement: [Thin Man Films, notableWork, All or Nothing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All or Nothing
Context triple: [Thin Man Films, notableWork, All or Nothing]
  • A. All or Nothing chosen
    All or Nothing is a 2002 British drama film written and directed by Mike Leigh that explores the lives and struggles of working-class families in London.
  • B. All or Nothing
    "All or Nothing" is a pop song by the American boy band O-Town that became one of their most recognizable hits in the early 2000s.
  • C. All or Nothing
    All or Nothing is a studio album by American rapper Fat Joe that showcases his East Coast hip hop style and collaborations with prominent artists.
  • D. All or Nothing
    All or Nothing is a studio album by the American heavy metal band Down, known for its sludgy, Southern-influenced sound.
  • E. All or Nothing
    "All or Nothing" is a rock song by Canadian band Theory of a Deadman, known for its melodic, emotionally driven style and radio-friendly appeal.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccef14c819099c5ebe962e7f867 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89d961481909be8dcc2864982c9 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.