Triple

T13994062
Position Surface form Disambiguated ID Type / Status
Subject Amy (2015 documentary film) E336649 entity
Predicate editedBy P1954 FINISHED
Object Chris King
Chris King is a film editor known for his work on acclaimed documentaries, including the 2015 film "Amy" about singer Amy Winehouse.
E1075179 NE FINISHED

How this triple was built (4 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: [Amy (2015 documentary film), editedBy, Chris King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris King
Context triple: [Amy (2015 documentary film), editedBy, Chris King]
  • A. Chris King
    Chris King is an individual known for being the subject of writing by Amy.
  • B. 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.
  • C. 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.
  • D. Carlos King
    Carlos King is a television producer and reality TV showrunner best known for creating and executive producing popular unscripted series.
  • E. Ian Martin
    Ian Martin is a British comedy writer and satirist known for his work on political satires such as the film "The Death of Stalin" and the TV series "The Thick of It."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chris King
Triple: [Amy (2015 documentary film), editedBy, Chris King]
Generated description
Chris King is a film editor known for his work on acclaimed documentaries, including the 2015 film "Amy" about singer Amy Winehouse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris King
Target entity description: Chris King is a film editor known for his work on acclaimed documentaries, including the 2015 film "Amy" about singer Amy Winehouse.
  • A. Chris King
    Chris King is an individual known for being the subject of writing by Amy.
  • B. 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.
  • C. 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.
  • D. Carlos King
    Carlos King is a television producer and reality TV showrunner best known for creating and executive producing popular unscripted series.
  • E. Ian Martin
    Ian Martin is a British comedy writer and satirist known for his work on political satires such as the film "The Death of Stalin" and the TV series "The Thick of It."
  • F. None of above. chosen

Provenance (5 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb53f508190855cd69b8061dd77 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32789e08190be0f1d1685dcc90e completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc6d1048081908fb2e798cbc9902f completed May 6, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69fbc76610008190bd3c7f357666c8db completed May 6, 2026, 10:57 p.m.
Created at: April 9, 2026, 10:19 p.m.