Triple

T19610900
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man: Turn Off the Dark E470725 entity
Predicate lightingDesigner P25110 FINISHED
Object Donald Holder 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: Donald Holder | Statement: [Spider-Man: Turn Off the Dark, lightingDesigner, Donald Holder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Holder
Context triple: [Spider-Man: Turn Off the Dark, lightingDesigner, Donald Holder]
  • A. Donald Holder chosen
    Donald Holder is a renowned American lighting designer best known for his work on major Broadway productions and multiple Tony Award–winning designs.
  • B. Donald Burkholder
    Donald Burkholder was an influential American mathematician known for his fundamental contributions to probability theory and martingale inequalities.
  • C. Roy Hinson
    Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
  • D. Rodney Hanscomb
    Rodney Hanscomb is a Connecticut politician known for running as a third-party candidate in the 2018 gubernatorial election.
  • E. Clifton Parker
    Clifton Parker was a British composer best known for his evocative film scores for mid-20th-century British cinema and documentaries.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cb180c8190ba96ffb69c24e2e1 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.