Triple

T23169277
Position Surface form Disambiguated ID Type / Status
Subject Dale Earnhardt E578799 entity
Predicate nickname P55 FINISHED
Object The Man in Black — 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: The Man in Black | Statement: [Dale Earnhardt, nickname, The Man in Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Man in Black
Context triple: [Dale Earnhardt, nickname, The Man in Black]
  • A. The Man in Black
    The Man in Black is a mysterious, manipulative sorcerer and recurring antagonist in Stephen King’s multiverse, most prominently opposing Roland Deschain in The Dark Tower series.
  • B. The Man in Black chosen
    The Man in Black was the iconic nickname of legendary NASCAR driver Dale Earnhardt, known for his aggressive driving style and trademark black No. 3 car.
  • C. The Man in Black
    The Man in Black is the iconic nickname of American country music legend Johnny Cash, reflecting his trademark dark clothing and somber, socially conscious persona.
  • D. The Man in Black
    The Man in Black is a grieving lover and central allegorical figure in Geoffrey Chaucer’s dream-vision poem "The Book of the Duchess."
  • E. The Man in Black
    The Man in Black is a mysterious, ruthless guest in the TV series *Westworld* who obsessively seeks the park’s deepest secrets and hidden narrative.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2e5e208190839ec37de4b974af completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.