Triple

T20387241
Position Surface form Disambiguated ID Type / Status
Subject Columbus (2017 film) E497990 entity
Predicate producer P490 FINISHED
Object Aaron Boyd
Aaron Boyd is a film producer known for his work on the 2017 drama "Columbus."
E1427518 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: Aaron Boyd | Statement: [Columbus (2017 film), producer, Aaron Boyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Boyd
Context triple: [Columbus (2017 film), producer, Aaron Boyd]
  • A. Byron McLaughlin
    Byron McLaughlin is a former American Major League Baseball pitcher who played primarily for the Seattle Mariners in the late 1970s and early 1980s.
  • B. Brian Andrews
    Brian Andrews is a songwriter best known for his work on the track "Got Me Going."
  • C. Kevin Lindsay
    Kevin Lindsay was an Australian-born British character actor best known to Doctor Who fans for playing the Sontaran characters Linx and Styre in the 1970s.
  • D. D. J. Paterson
    D. J. Paterson was a screenwriter known for his work on the British film "Fanny by Gaslight."
  • E. Greg Austin
    Greg Austin is a British actor best known for his roles in television series such as "Mr Selfridge" and the "Doctor Who" spin-off "Class."
  • 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: Aaron Boyd
Triple: [Columbus (2017 film), producer, Aaron Boyd]
Generated description
Aaron Boyd is a film producer known for his work on the 2017 drama "Columbus."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aaron Boyd
Target entity description: Aaron Boyd is a film producer known for his work on the 2017 drama "Columbus."
  • A. Byron McLaughlin
    Byron McLaughlin is a former American Major League Baseball pitcher who played primarily for the Seattle Mariners in the late 1970s and early 1980s.
  • B. Brian Andrews
    Brian Andrews is a songwriter best known for his work on the track "Got Me Going."
  • C. Kevin Lindsay
    Kevin Lindsay was an Australian-born British character actor best known to Doctor Who fans for playing the Sontaran characters Linx and Styre in the 1970s.
  • D. D. J. Paterson
    D. J. Paterson was a screenwriter known for his work on the British film "Fanny by Gaslight."
  • E. Greg Austin
    Greg Austin is a British actor best known for his roles in television series such as "Mr Selfridge" and the "Doctor Who" spin-off "Class."
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790c935881908f901d058e6a83a9 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08761fdb8481908a4b9975c96aade9 completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0876b11c248190aefac57c32293ff0 completed May 16, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a08772501e08190b6c104b3270cf2da completed May 16, 2026, 1:54 p.m.
Created at: April 16, 2026, 11:28 a.m.