Triple

T19610899
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man: Turn Off the Dark E470725 entity
Predicate soundDesigner P32563 FINISHED
Object Jonathan Deans 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: Jonathan Deans | Statement: [Spider-Man: Turn Off the Dark, soundDesigner, Jonathan Deans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Deans
Context triple: [Spider-Man: Turn Off the Dark, soundDesigner, Jonathan Deans]
  • A. Jonathan Deans chosen
    Jonathan Deans is a prominent theatrical sound designer known for his work on major Broadway and West End productions.
  • B. Max Deacon
    Max Deacon is a British actor best known for his leading role in the disaster film "Into the Storm" (2014) and appearances in various film and television projects.
  • C. Luke Stoughton
    Luke Stoughton was an early settler and prominent local figure after whom the city of Stoughton, Wisconsin, was named.
  • D. Justin Deas
    Justin Deas is an American actor best known for his multiple Daytime Emmy-winning roles on soap operas such as Guiding Light, As the World Turns, and Santa Barbara.
  • E. Jeremy Fisher
    Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
  • 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.