Triple

T16436646
Position Surface form Disambiguated ID Type / Status
Subject Slide It In E399194 entity
Predicate hasTrack P3284 FINISHED
Object All or Nothing E1072938 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: [Slide It In, hasTrack, All or Nothing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All or Nothing
Context triple: [Slide It In, hasTrack, All or Nothing]
  • A. All or Nothing
    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 chosen
    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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba224988190b7cccc42f35e54de completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045893c5481909e5ffa9460dc5b3d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.