Triple

T3568165
Position Surface form Disambiguated ID Type / Status
Subject Graham E75501 entity
Predicate hasNotableBearer P458 FINISHED
Object Graham Linehan E271301 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: Graham Linehan | Statement: [Graham, hasNotableBearer, Graham Linehan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graham Linehan
Context triple: [Graham, hasNotableBearer, Graham Linehan]
  • A. Stephen Merchant
    Stephen Merchant is an English comedian, writer, director, and actor best known as the co-creator of the acclaimed TV series "The Office" and frequent collaborator of Ricky Gervais.
  • B. Armando Iannucci
    Armando Iannucci is a Scottish satirist, writer, director, and producer best known for creating the political comedies "The Thick of It," "In the Loop," and HBO's "Veep."
  • C. Chris O'Dowd chosen
    Chris O'Dowd is an Irish actor and comedian best known for his roles in the sitcom "The IT Crowd" and various film comedies.
  • D. Joseph Godber
    Joseph Godber was a British Conservative politician who held several senior government posts in the mid-20th century, including roles in agriculture and foreign affairs.
  • E. Chris Lilley
    Chris Lilley is a computer scientist and web standards expert known for his influential work at the World Wide Web Consortium (W3C), particularly in areas like web graphics and architecture.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ab51d881908f004fae47ab09d9 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb01d108190bd098c86b0180b78 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.