Triple

T5202940
Position Surface form Disambiguated ID Type / Status
Subject Beckett E117437 entity
Predicate hasNotableBearer P458 FINISHED
Object Andy Beckett
Andy Beckett is a British journalist and author known for his political commentary and historical analyses, particularly in publications like The Guardian.
 E505612 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: Andy Beckett | Statement: [Beckett, hasNotableBearer, Andy Beckett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andy Beckett
Context triple: [Beckett, hasNotableBearer, Andy Beckett]
  • A. Jason Beck
    Jason Beck is the mayor of Peoria, Arizona, overseeing the city's local government and municipal affairs.
  • B. Christopher Beck
    Christopher Beck is a Canadian composer best known for his film and television scores, including work on major Hollywood productions.
  • C. Brian Wilkins
    Brian Wilkins is a television producer best known for serving as an executive producer on the series "Hand of God."
  • D. Michael Andrews
    Michael Andrews was a prominent British painter associated with the School of London, known for his psychologically charged figurative works and atmospheric landscapes.
  • E. Michael Andrews
    Michael Andrews is an American film composer and musician known for his atmospheric scores for movies such as Donnie Darko and Bridesmaids.
  • 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: Andy Beckett
Triple: [Beckett, hasNotableBearer, Andy Beckett]
Generated description
Andy Beckett is a British journalist and author known for his political commentary and historical analyses, particularly in publications like The Guardian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andy Beckett
Target entity description: Andy Beckett is a British journalist and author known for his political commentary and historical analyses, particularly in publications like The Guardian.
  • A. Jason Beck
    Jason Beck is the mayor of Peoria, Arizona, overseeing the city's local government and municipal affairs.
  • B. Christopher Beck
    Christopher Beck is a Canadian composer best known for his film and television scores, including work on major Hollywood productions.
  • C. Brian Wilkins
    Brian Wilkins is a television producer best known for serving as an executive producer on the series "Hand of God."
  • D. Michael Andrews
    Michael Andrews was a prominent British painter associated with the School of London, known for his psychologically charged figurative works and atmospheric landscapes.
  • E. Michael Andrews
    Michael Andrews is an American film composer and musician known for his atmospheric scores for movies such as Donnie Darko and Bridesmaids.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a46393c81908da08f4fbfb6147d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7fcae508190bffd21937488d674 completed March 21, 2026, 7:56 p.m.
NEDg Description generation batch_69bef933c4008190bea3a5a7e5de17e6 completed March 21, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_69bef9a600908190bdaff60b7a514538 completed March 21, 2026, 8:03 p.m.
Created at: March 20, 2026, 1:47 p.m.