Triple

T4478072
Position Surface form Disambiguated ID Type / Status
Subject Martin McGuinness E100059 entity
Predicate servedAlongside P25756 FINISHED
Object Peter Robinson E101905 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: Peter Robinson | Statement: [Martin McGuinness, servedAlongside, Peter Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Robinson
Context triple: [Martin McGuinness, servedAlongside, Peter Robinson]
  • A. Peter Robinson chosen
    Peter Robinson is a Northern Irish politician who served as leader of the Democratic Unionist Party and First Minister of Northern Ireland.
  • B. Christopher Foyle
    Christopher Foyle is the principled, quietly determined British detective at the heart of the World War II-era crime drama series "Foyle's War."
  • C. Peter James
    Peter James is an Australian cinematographer known for his work on numerous feature films and television projects.
  • D. Peter James
    Peter James is a bestselling British crime and thriller novelist, best known for his Roy Grace detective series.
  • E. John Robie
    John Robie is a retired jewel thief known as "The Cat" who becomes embroiled in a new string of robberies on the French Riviera in Alfred Hitchcock's film "To Catch a Thief."
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356d9d1d08190b3f9356eefd237dc completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62888ea508190a052c0b2edee7fca completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.