Triple

T20699744
Position Surface form Disambiguated ID Type / Status
Subject Antony Booth E508747 entity
Predicate name P16 FINISHED
Object Antony Booth NE NERFINISHED

How this triple was built (2 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: Antony Booth | Statement: [Antony Booth, name, Antony Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antony Booth
Context triple: [Antony Booth, name, Antony Booth]
  • A. Antony Booth chosen
    Antony Booth was a British actor best known for his role in the sitcom "Till Death Us Do Part" and as the father-in-law of former UK Prime Minister Tony Blair.
  • B. Neville Barr
    Neville Barr is an individual notable enough to be recognized as a bearer of the surname Barr, though specific widely known public achievements or roles are not clearly documented.
  • C. Thomas Guy
    Thomas Guy was an English bookseller, philanthropist, and Member of Parliament best known for endowing and establishing Guy’s Hospital in London in the early 18th century.
  • D. James Burrough
    James Burrough was an 18th-century English architect and academic at the University of Cambridge, known for helping shape the university’s neoclassical architectural style.
  • E. Philip Meadows
    Philip Meadows was an English diplomat and government official active in the late 17th and early 18th centuries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18a77308190b7c2517d82a145cd completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.