Triple

T18588999
Position Surface form Disambiguated ID Type / Status
Subject Transformers: The Movie (1986) E454309 entity
Predicate editedBy P1954 FINISHED
Object David Hankins
David Hankins is a film editor best known for his work on the 1986 animated feature "Transformers: The Movie."
E1336531 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: David Hankins | Statement: [Transformers: The Movie (1986), editedBy, David Hankins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Hankins
Context triple: [Transformers: The Movie (1986), editedBy, David Hankins]
  • A. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • B. Ryan Hansen
    Ryan Hansen is an American actor best known for his role as Dick Casablancas on the television series "Veronica Mars."
  • C. Dan Jinks
    Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
  • D. Andy Hanson
    Andy Hanson is a central, morally conflicted character in the crime drama film "Before the Devil Knows You're Dead," whose desperate decisions drive the story's tragic events.
  • E. Dave Hodgman
    Dave Hodgman is the introspective, awkwardly romantic teenage protagonist of the coming-of-age film "The First Time," who navigates first love and self-discovery over the course of a single weekend.
  • 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: David Hankins
Triple: [Transformers: The Movie (1986), editedBy, David Hankins]
Generated description
David Hankins is a film editor best known for his work on the 1986 animated feature "Transformers: The Movie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Hankins
Target entity description: David Hankins is a film editor best known for his work on the 1986 animated feature "Transformers: The Movie."
  • A. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • B. Ryan Hansen
    Ryan Hansen is an American actor best known for his role as Dick Casablancas on the television series "Veronica Mars."
  • C. Dan Jinks
    Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
  • D. Andy Hanson
    Andy Hanson is a central, morally conflicted character in the crime drama film "Before the Devil Knows You're Dead," whose desperate decisions drive the story's tragic events.
  • E. Dave Hodgman
    Dave Hodgman is the introspective, awkwardly romantic teenage protagonist of the coming-of-age film "The First Time," who navigates first love and self-discovery over the course of a single weekend.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b3e564819088e60fc25d1976f0 completed April 19, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05170d98a88190a048feff7f0bc7a4 completed May 14, 2026, 12:27 a.m.
NEDg Description generation batch_6a051ad23658819081f5169a0506fda6 completed May 14, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a051b9a071c8190a0e92848a3596acd completed May 14, 2026, 12:47 a.m.
Created at: April 10, 2026, 11:44 a.m.