Triple

T22022312
Position Surface form Disambiguated ID Type / Status
Subject Terminal (2018 film) E543873 entity
Predicate hasMainCharacter P1183 FINISHED
Object Clinton (character)
Clinton is the central character in the 2018 film "Terminal," around whom the movie’s neo-noir thriller plot revolves.
 E1514144 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: Clinton (character) | Statement: [Terminal (2018 film), hasMainCharacter, Clinton (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clinton (character)
Context triple: [Terminal (2018 film), hasMainCharacter, Clinton (character)]
  • A. Garlin
    Garlin is a surname most notably associated with American comedian and actor Jeff Garlin.
  • B. Charl
    Charl is a given name, typically a shortened or variant form of the name Charles.
  • C. Vance
    Vance is a central character in the American television sitcom "Perfect Couples," known for his volatile yet comedic romantic relationship dynamics.
  • D. Vance
    Vance is a small town in Alabama, United States, known primarily for hosting the Mercedes-Benz U.S. International manufacturing plant.
  • E. Vance
    Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
  • 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: Clinton (character)
Triple: [Terminal (2018 film), hasMainCharacter, Clinton (character)]
Generated description
Clinton is the central character in the 2018 film "Terminal," around whom the movie’s neo-noir thriller plot revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clinton (character)
Target entity description: Clinton is the central character in the 2018 film "Terminal," around whom the movie’s neo-noir thriller plot revolves.
  • A. Garlin
    Garlin is a surname most notably associated with American comedian and actor Jeff Garlin.
  • B. Charl
    Charl is a given name, typically a shortened or variant form of the name Charles.
  • C. Vance
    Vance is a central character in the American television sitcom "Perfect Couples," known for his volatile yet comedic romantic relationship dynamics.
  • D. Vance
    Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
  • E. Vance
    Vance is a small town in Alabama, United States, known primarily for hosting the Mercedes-Benz U.S. International manufacturing plant.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c8ac6881909a9e96e0873a3ae2 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a738527b481908b8f5aeb7d4cf5c7 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a745e534881909a681b9f2234afa5 completed May 18, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7857e6dc819088b592cdff7d4cf3 completed May 18, 2026, 2:24 a.m.
Created at: April 16, 2026, 8:23 p.m.