Triple

T16864165
Position Surface form Disambiguated ID Type / Status
Subject Leveson Inquiry E409994 entity
Predicate hasWitness P653 FINISHED
Object Piers Morgan E582585 NE FINISHED

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: Piers Morgan | Statement: [Leveson Inquiry, hasWitness, Piers Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piers Morgan
Context triple: [Leveson Inquiry, hasWitness, Piers Morgan]
  • A. Piers Morgan chosen
    Piers Morgan is a British journalist and television personality known for hosting talk shows and serving as a judge on popular talent competitions.
  • B. James Marr
    James Marr is a relatively obscure individual whose primary distinction is sharing the surname associated with the better-known Marr family name.
  • C. Lem Dobbs
    Lem Dobbs is a British-American screenwriter known for his work on films such as "Dark City," "The Limey," and "The Score."
  • D. Jeremy Paxman
    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.
  • E. Emily Maitlis
    Emily Maitlis is a prominent British journalist and broadcaster best known as a former lead presenter of BBC Newsnight and co-host of the podcast "The News Agents."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b505a390819097ec31cd210eca60 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb294c0481908306e1f604cc7404 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.