Triple

T3798684
Position Surface form Disambiguated ID Type / Status
Subject Grown Ups 2 E91634 entity
Predicate editedBy P1954 FINISHED
Object Tom Costain
Tom Costain is a film editor known for his work on major Hollywood comedies, including the Adam Sandler sequel "Grown Ups 2."
E388928 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: Tom Costain | Statement: [Grown Ups 2, editedBy, Tom Costain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Costain
Context triple: [Grown Ups 2, editedBy, Tom Costain]
  • A. Ken Lowe
    Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
  • B. Dean Pitchford
    Dean Pitchford is an American songwriter, screenwriter, and director best known for co-writing hit songs like "Footloose" and for his work on the film and musical of the same name.
  • C. Roger D. Branigin
    Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
  • D. John McDonough
    John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
  • E. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • 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: Tom Costain
Triple: [Grown Ups 2, editedBy, Tom Costain]
Generated description
Tom Costain is a film editor known for his work on major Hollywood comedies, including the Adam Sandler sequel "Grown Ups 2."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Costain
Target entity description: Tom Costain is a film editor known for his work on major Hollywood comedies, including the Adam Sandler sequel "Grown Ups 2."
  • A. Ken Lowe
    Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
  • B. Dean Pitchford
    Dean Pitchford is an American songwriter, screenwriter, and director best known for co-writing hit songs like "Footloose" and for his work on the film and musical of the same name.
  • C. Roger D. Branigin
    Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
  • D. John McDonough
    John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
  • E. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a270908190ac30537a22f3d500 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f064471881908b52b2f64e50a83d completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f1fae7ac8190909b05c0d685e377 completed March 14, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69b4f29e5fb48190982ab2844eb8c179 completed March 14, 2026, 5:31 a.m.
Created at: March 9, 2026, 3:15 p.m.