Triple

T6706416
Position Surface form Disambiguated ID Type / Status
Subject Royal Grammar School, Guildford E153014 entity
Predicate hasAlumni P51 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: [Royal Grammar School, Guildford, hasAlumni, Piers Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piers Morgan
Context triple: [Royal Grammar School, Guildford, hasAlumni, 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. Lem Dobbs
    Lem Dobbs is a British-American screenwriter known for his work on films such as "Dark City," "The Limey," and "The Score."
  • C. 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.
  • D. 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."
  • E. Luke Harding
    Luke Harding is a British journalist and author known for his investigative reporting on Russia, espionage, and international affairs, including works that inspired the film "The Fifth Estate."
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1033bb881908c3360b715bf13cf completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7008aeac08190887a7bf5703b69f4 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.