Triple

T11299807
Position Surface form Disambiguated ID Type / Status
Subject A Blonde in Love E267552 entity
Predicate follows P134 FINISHED
Object Black Peter E556259 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: Black Peter | Statement: [A Blonde in Love, follows, Black Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Peter
Context triple: [A Blonde in Love, follows, Black Peter]
  • A. Black Peter chosen
    "Black Peter" is a slow, blues-influenced Grateful Dead song known for its somber storytelling and emotive live performances.
  • B. Barnacle Boy
    Barnacle Boy is a grumpy, elderly superhero sidekick from the animated series "SpongeBob SquarePants," known as the partner of Mermaid Man.
  • C. PeeDee the Pirate
    PeeDee the Pirate is the costumed pirate mascot who represents East Carolina University's athletic teams and school spirit.
  • D. Davy Jones
    Davy Jones is the tentacle-faced, cursed captain of the Flying Dutchman and a central supernatural antagonist in the Pirates of the Caribbean film series.
  • E. Schmendiman
    Schmendiman is a comically overconfident, dim-witted inventor in Steve Martin’s play "Picasso at the Lapin Agile," representing misguided modern ambition.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a4aad4819097384e1b591be2e3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a4af56881908cc395b6687d40a9 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:32 p.m.