Triple

T3358245
Position Surface form Disambiguated ID Type / Status
Subject Kiss Kiss Bang Bang E70655 entity
Predicate editedBy P1954 FINISHED
Object Jim Page
Jim Page is a film editor known for his work on the neo-noir black comedy crime film "Kiss Kiss Bang Bang."
E351037 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: Jim Page | Statement: [Kiss Kiss Bang Bang, editedBy, Jim Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Page
Context triple: [Kiss Kiss Bang Bang, editedBy, Jim Page]
  • A. Tony Gibbs
    Tony Gibbs is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Gibbs.
  • B. Phil Collinson
    Phil Collinson is a British television producer best known for his work on the revived era of Doctor Who.
  • C. Roger Byrne
    Roger Byrne was an English footballer who captained Manchester United's famed "Busby Babes" side in the 1950s.
  • D. Campbell McLaren
    Campbell McLaren is a television and combat sports executive best known as a co-creator of the Ultimate Fighting Championship and a key figure in popularizing mixed martial arts.
  • E. Michael Evans
    Michael Evans is a smart, socially conscious teenage son in the 1970s sitcom "Good Times," often serving as the show's outspoken voice on political and racial issues.
  • 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: Jim Page
Triple: [Kiss Kiss Bang Bang, editedBy, Jim Page]
Generated description
Jim Page is a film editor known for his work on the neo-noir black comedy crime film "Kiss Kiss Bang Bang."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jim Page
Target entity description: Jim Page is a film editor known for his work on the neo-noir black comedy crime film "Kiss Kiss Bang Bang."
  • A. Tony Gibbs
    Tony Gibbs is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Gibbs.
  • B. Phil Collinson
    Phil Collinson is a British television producer best known for his work on the revived era of Doctor Who.
  • C. Roger Byrne
    Roger Byrne was an English footballer who captained Manchester United's famed "Busby Babes" side in the 1950s.
  • D. Campbell McLaren
    Campbell McLaren is a television and combat sports executive best known as a co-creator of the Ultimate Fighting Championship and a key figure in popularizing mixed martial arts.
  • E. Michael Evans
    Michael Evans is a smart, socially conscious teenage son in the 1970s sitcom "Good Times," often serving as the show's outspoken voice on political and racial issues.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb26523cc819091006fde7beb32e4 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253e91988190bbfdafdf88ab0df1 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b326cc82788190b68f1db043f21055 completed March 12, 2026, 8:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3276b55a0819094face2e56001921 completed March 12, 2026, 8:51 p.m.
Created at: March 8, 2026, 3:13 p.m.