Triple

T17320575
Position Surface form Disambiguated ID Type / Status
Subject The Political Animal E420548 entity
Predicate author P4 FINISHED
Object Jeremy Paxman 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: Jeremy Paxman | Statement: [The Political Animal, author, Jeremy Paxman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Paxman
Context triple: [The Political Animal, author, Jeremy Paxman]
  • A. Jeremy Paxman chosen
    Jeremy Paxman is a British broadcaster, journalist, and author best known for his incisive interviewing style on BBC’s Newsnight and as the long-time host of the quiz show University Challenge.
  • B. Andrew Marr
    Andrew Marr is a prominent British journalist, broadcaster, and political commentator best known for presenting BBC current affairs programmes such as "The Andrew Marr Show."
  • C. Giles Paxman
    Giles Paxman is a British former diplomat who served as the United Kingdom's ambassador to Mexico and later to Spain.
  • D. Andrew Neil
    Andrew Neil is a veteran British journalist and broadcaster known for his incisive political interviews and leadership roles at major UK media outlets.
  • E. Matthew Parris
    Matthew Parris is a British political commentator, columnist, and former Conservative MP known for his incisive and often witty analysis of UK politics.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439a066b481908e8aee1885809eba completed April 19, 2026, 2:10 a.m.
Created at: April 10, 2026, 5:43 a.m.