Triple

T17663613
Position Surface form Disambiguated ID Type / Status
Subject Diego Maradona (2019 film) E440313 entity
Predicate cinematographyBy P1953 FINISHED
Object Chris King 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: Chris King | Statement: [Diego Maradona (2019 film), cinematographyBy, Chris King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris King
Context triple: [Diego Maradona (2019 film), cinematographyBy, Chris King]
  • A. Chris King
    Chris King is an individual known for being the subject of writing by Amy.
  • B. Chris King chosen
    Chris King is a film editor known for his work on acclaimed documentaries, including the 2015 film "Amy" about singer Amy Winehouse.
  • C. George Hincapie
    George Hincapie is an American former professional road cyclist best known as a long-time domestique for Lance Armstrong and a key figure in the U.S. Postal Service team's doping scandal.
  • D. Tony Martin
    Tony Martin is an English heavy metal vocalist best known for his multiple tenures as lead singer of Black Sabbath during the late 1980s and 1990s.
  • E. Tony Martin
    Tony Martin was an American pop singer and actor popular from the 1930s through the 1950s, known for his smooth baritone voice and appearances in numerous Hollywood musicals.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea7f0ec81908eff43aa845584af completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:53 a.m.