Triple

T8154408
Position Surface form Disambiguated ID Type / Status
Subject Bean (1997 film) E190409 entity
Predicate editedBy P1954 FINISHED
Object Chris Blunden
Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
E755625 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 Blunden | Statement: [Bean (1997 film), editedBy, Chris Blunden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Blunden
Context triple: [Bean (1997 film), editedBy, Chris Blunden]
  • A. Chris Bilkey
    Chris Bilkey is an Australian local government politician who serves as the mayor of the Murray River Council in New South Wales.
  • B. Greg Morris
    Greg Morris was an American actor best known for his role as electronics expert Barney Collier on the television series "Mission: Impossible."
  • C. Eric Crozier
    Eric Crozier was a British theatrical director, producer, and writer best known for his close collaboration with composer Benjamin Britten on several operas.
  • D. Kevin Cossom
    Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
  • E. Colin Blakely
    Colin Blakely was a Northern Irish character actor known for his powerful stage work and memorable supporting roles in British and international films of the 1960s–1980s.
  • 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 Blunden
Triple: [Bean (1997 film), editedBy, Chris Blunden]
Generated description
Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Blunden
Target entity description: Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
  • A. Chris Bilkey
    Chris Bilkey is an Australian local government politician who serves as the mayor of the Murray River Council in New South Wales.
  • B. Greg Morris
    Greg Morris was an American actor best known for his role as electronics expert Barney Collier on the television series "Mission: Impossible."
  • C. Eric Crozier
    Eric Crozier was a British theatrical director, producer, and writer best known for his close collaboration with composer Benjamin Britten on several operas.
  • D. Kevin Cossom
    Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
  • E. Colin Blakely
    Colin Blakely was a Northern Irish character actor known for his powerful stage work and memorable supporting roles in British and international films of the 1960s–1980s.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf421875f88190a005c3ffba04dffe completed April 3, 2026, 4:29 a.m.
NEDg Description generation batch_69cf43ead588819094089bea94c27207 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf453fa3e4819082466c59649c2f35 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 5:37 p.m.