Triple

T10514693
Position Surface form Disambiguated ID Type / Status
Subject The Hurt Locker E248001 entity
Predicate editedBy P1954 FINISHED
Object Chris Innis
Chris Innis is an American film editor best known for her Academy Award-winning work on the war drama "The Hurt Locker."
E868274 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 Innis | Statement: [The Hurt Locker, editedBy, Chris Innis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Innis
Context triple: [The Hurt Locker, editedBy, Chris Innis]
  • A. Jody Egginton
    Jody Egginton is a British motorsport engineer best known for serving as technical director of the Formula One team Scuderia AlphaTauri.
  • B. Chris Grigg
    Chris Grigg is a composer best known for his work on the music and sound design for the classic adventure game Maniac Mansion.
  • C. Robin McAuley
    Robin McAuley is an Irish rock singer best known for his work with the McAuley Schenker Group and as a longtime vocalist in various hard rock and metal projects.
  • D. Kit Carruthers
    Kit Carruthers is the charismatic yet disturbingly detached young drifter and spree killer at the center of Terrence Malick’s film "Badlands."
  • E. Charlie Shotwell
    Charlie Shotwell is an American child actor known for roles in films such as "Captain Fantastic," "The Glass Castle," and "Troop Zero."
  • 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 Innis
Triple: [The Hurt Locker, editedBy, Chris Innis]
Generated description
Chris Innis is an American film editor best known for her Academy Award-winning work on the war drama "The Hurt Locker."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Innis
Target entity description: Chris Innis is an American film editor best known for her Academy Award-winning work on the war drama "The Hurt Locker."
  • A. Jody Egginton
    Jody Egginton is a British motorsport engineer best known for serving as technical director of the Formula One team Scuderia AlphaTauri.
  • B. Chris Grigg
    Chris Grigg is a composer best known for his work on the music and sound design for the classic adventure game Maniac Mansion.
  • C. Robin McAuley
    Robin McAuley is an Irish rock singer best known for his work with the McAuley Schenker Group and as a longtime vocalist in various hard rock and metal projects.
  • D. Kit Carruthers
    Kit Carruthers is the charismatic yet disturbingly detached young drifter and spree killer at the center of Terrence Malick’s film "Badlands."
  • E. Charlie Shotwell
    Charlie Shotwell is an American child actor known for roles in films such as "Captain Fantastic," "The Glass Castle," and "Troop Zero."
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cade0c81908fcbd54a90106bf9 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90df141488190a2674546aa437de8 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107dc8448190998c4044f68a775e completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911e7d2dc8190a67b2513607fdf98 completed April 10, 2026, 3:06 p.m.
Created at: April 6, 2026, 12:27 p.m.