Triple

T13383972
Position Surface form Disambiguated ID Type / Status
Subject William Emerson Arnett E319389 entity
Predicate characterPortrayed P1507 FINISHED
Object Chris Brinkley
Chris Brinkley is a fictional character portrayed by actor William Emerson Arnett.
E1036376 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 Brinkley | Statement: [William Emerson Arnett, characterPortrayed, Chris Brinkley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Brinkley
Context triple: [William Emerson Arnett, characterPortrayed, Chris Brinkley]
  • A. Michael Parsons
    Michael Parsons is an engineer and designer best known for his role in creating Istanbul’s iconic 15 July Martyrs Bridge (formerly the Bosphorus Bridge).
  • B. Bradley Carnell
    Bradley Carnell is a South African former professional defender and current soccer coach known for leading Major League Soccer expansion club St. Louis City SC.
  • C. Brant Broughton
    Brant Broughton is a small rural village in Lincolnshire, England, known for its historic buildings and traditional English countryside setting.
  • D. Luke Brattan
    Luke Brattan is an Australian professional footballer and midfielder known for his playmaking ability in the A-League.
  • E. Nick Daley
    Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
  • 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 Brinkley
Triple: [William Emerson Arnett, characterPortrayed, Chris Brinkley]
Generated description
Chris Brinkley is a fictional character portrayed by actor William Emerson Arnett.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Brinkley
Target entity description: Chris Brinkley is a fictional character portrayed by actor William Emerson Arnett.
  • A. Michael Parsons
    Michael Parsons is an engineer and designer best known for his role in creating Istanbul’s iconic 15 July Martyrs Bridge (formerly the Bosphorus Bridge).
  • B. Bradley Carnell
    Bradley Carnell is a South African former professional defender and current soccer coach known for leading Major League Soccer expansion club St. Louis City SC.
  • C. Brant Broughton
    Brant Broughton is a small rural village in Lincolnshire, England, known for its historic buildings and traditional English countryside setting.
  • D. Luke Brattan
    Luke Brattan is an Australian professional footballer and midfielder known for his playmaking ability in the A-League.
  • E. Nick Daley
    Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7276776ec81908769cd9f1cc4707e completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f7280cbb6c819090bee7862e00b900 completed May 3, 2026, 10:48 a.m.
Created at: April 9, 2026, 9:33 p.m.