Triple

T16993689
Position Surface form Disambiguated ID Type / Status
Subject Robots E412259 entity
Predicate editedBy P1954 FINISHED
Object John Carnochan
John Carnochan is an editor known for his work on the animated film "Robots" and other feature-length animation projects.
 E1275945 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: John Carnochan | Statement: [Robots, editedBy, John Carnochan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Carnochan
Context triple: [Robots, editedBy, John Carnochan]
  • A. John Carnes
    John Carnes was an American industrialist best known for co-founding the Lima Locomotive Works, a major manufacturer of steam locomotives in the United States.
  • B. Michael Kanin
    Michael Kanin was an American screenwriter best known for his Academy Award–winning work in classic Hollywood films, often in collaboration with his wife, Fay Kanin.
  • C. John Ketcham
    John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
  • D. Charles T. Kanganis
    Charles T. Kanganis is an American film director and screenwriter known for working on family-oriented action and comedy movies in the 1990s.
  • E. Stephen Holbrook
    Stephen Holbrook is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
  • 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: John Carnochan
Triple: [Robots, editedBy, John Carnochan]
Generated description
John Carnochan is an editor known for his work on the animated film "Robots" and other feature-length animation projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Carnochan
Target entity description: John Carnochan is an editor known for his work on the animated film "Robots" and other feature-length animation projects.
  • A. John Carnes
    John Carnes was an American industrialist best known for co-founding the Lima Locomotive Works, a major manufacturer of steam locomotives in the United States.
  • B. Michael Kanin
    Michael Kanin was an American screenwriter best known for his Academy Award–winning work in classic Hollywood films, often in collaboration with his wife, Fay Kanin.
  • C. John Ketcham
    John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
  • D. Charles T. Kanganis
    Charles T. Kanganis is an American film director and screenwriter known for working on family-oriented action and comedy movies in the 1990s.
  • E. Stephen Holbrook
    Stephen Holbrook is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d28535788190bdfcb6201a9024b5 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01d273f37c8190bbad1ee6a0dc215f completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d89932cc8190b3fd0ee72567cf46 completed May 11, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_6a01d9741c348190ab926699e1b6a48f completed May 11, 2026, 1:28 p.m.
Created at: April 10, 2026, 5:32 a.m.