Triple

T3067889
Position Surface form Disambiguated ID Type / Status
Subject Shooter (2007 film) E62149 entity
Predicate editedBy P1954 FINISHED
Object Eric Sears
Eric Sears is a film editor known for his work on action and thriller movies, including the 2007 film "Shooter."
 E339953 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: Eric Sears | Statement: [Shooter (2007 film), editedBy, Eric Sears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eric Sears
Context triple: [Shooter (2007 film), editedBy, Eric Sears]
  • A. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • B. Rick Sorenson
    Rick Sorenson is known as the former husband of acclaimed American singer-songwriter Carole King.
  • C. Sean Hartnett
    Sean Hartnett is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hartnett, with no widely recognized public profile or achievements documented.
  • D. Robert Seaman
    Robert Seaman was a wealthy American industrialist and manufacturer who became known as the husband of pioneering journalist Nellie Bly.
  • E. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • 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: Eric Sears
Triple: [Shooter (2007 film), editedBy, Eric Sears]
Generated description
Eric Sears is a film editor known for his work on action and thriller movies, including the 2007 film "Shooter."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eric Sears
Target entity description: Eric Sears is a film editor known for his work on action and thriller movies, including the 2007 film "Shooter."
  • A. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • B. Rick Sorenson
    Rick Sorenson is known as the former husband of acclaimed American singer-songwriter Carole King.
  • C. Sean Hartnett
    Sean Hartnett is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hartnett, with no widely recognized public profile or achievements documented.
  • D. Robert Seaman
    Robert Seaman was a wealthy American industrialist and manufacturer who became known as the husband of pioneering journalist Nellie Bly.
  • E. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276df42048190bcb79277a28f866a completed March 12, 2026, 8:18 a.m.
NEDg Description generation batch_69b27ab4bcb081909a59f41449f7bde8 completed March 12, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69b27b1ab6848190bebc7b02ce67071c completed March 12, 2026, 8:36 a.m.
Created at: March 8, 2026, 3:02 p.m.