Triple

T523909
Position Surface form Disambiguated ID Type / Status
Subject John Wick: Chapter 2 E10875 entity
Predicate editedBy P1954 FINISHED
Object Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
E130064 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: Evan Schiff | Statement: [John Wick: Chapter 2, editedBy, Evan Schiff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Schiff
Context triple: [John Wick: Chapter 2, editedBy, Evan Schiff]
  • A. Nathan Grossman
    Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
  • B. Joshua Michael Stern
    Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
  • C. Evan Washburn
    Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
  • D. Matt Weitzman
    Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
  • E. Zev Siegl
    Zev Siegl is an American entrepreneur and co-founder of the Starbucks coffee company.
  • 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: Evan Schiff
Triple: [John Wick: Chapter 2, editedBy, Evan Schiff]
Generated description
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Evan Schiff
Target entity description: Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
  • A. Nathan Grossman
    Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
  • B. Joshua Michael Stern
    Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
  • C. Evan Washburn
    Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
  • D. Matt Weitzman
    Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
  • E. Zev Siegl
    Zev Siegl is an American entrepreneur and co-founder of the Starbucks coffee company.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b656c08190b387f21b06d99e68 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5988ace881908f2884b5172be062 completed March 7, 2026, 4:59 p.m.
NEDg Description generation batch_69ac5a1fd5448190a72354c1017dfcf4 completed March 7, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac5a76e99c8190be49b80e31088693 completed March 7, 2026, 5:03 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.