Triple

T8017422
Position Surface form Disambiguated ID Type / Status
Subject Keen E186652 entity
Predicate hasNotableBearer P458 FINISHED
Object Gavin Keen
Gavin Keen is an individual notable enough to be specifically cited as a bearer of the surname Keen.
E707630 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: Gavin Keen | Statement: [Keen, hasNotableBearer, Gavin Keen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavin Keen
Context triple: [Keen, hasNotableBearer, Gavin Keen]
  • A. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • B. Gavin Vogel
    Gavin Vogel is the son of journalist Lloyd Vogel, a character inspired by real-life writer Tom Junod in the film "A Beautiful Day in the Neighborhood."
  • C. Matthew Waterhouse
    Matthew Waterhouse is a British actor best known for playing the Doctor Who companion Adric during the early 1980s.
  • D. Keenan Wynn
    Keenan Wynn was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often playing gruff, comedic, or villainous supporting roles.
  • E. David Gribble
    David Gribble is a cinematographer known for his work on feature films, including the dance drama "Tap."
  • 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: Gavin Keen
Triple: [Keen, hasNotableBearer, Gavin Keen]
Generated description
Gavin Keen is an individual notable enough to be specifically cited as a bearer of the surname Keen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gavin Keen
Target entity description: Gavin Keen is an individual notable enough to be specifically cited as a bearer of the surname Keen.
  • A. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • B. Gavin Vogel
    Gavin Vogel is the son of journalist Lloyd Vogel, a character inspired by real-life writer Tom Junod in the film "A Beautiful Day in the Neighborhood."
  • C. Matthew Waterhouse
    Matthew Waterhouse is a British actor best known for playing the Doctor Who companion Adric during the early 1980s.
  • D. Keenan Wynn
    Keenan Wynn was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often playing gruff, comedic, or villainous supporting roles.
  • E. David Gribble
    David Gribble is a cinematographer known for his work on feature films, including the dance drama "Tap."
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df4f1b8819089a8b67f136bce9a completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c213ec8190b3bd96c42d1357e4 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58a9e94081908980e2c60be38642 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbaefb481909eb325f0d27675c0 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:20 p.m.