Triple

T11821466
Position Surface form Disambiguated ID Type / Status
Subject Gerry Armstrong E281146 entity
Predicate name P16 FINISHED
Object Gerry Armstrong E281146 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: Gerry Armstrong | Statement: [Gerry Armstrong, name, Gerry Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerry Armstrong
Context triple: [Gerry Armstrong, name, Gerry Armstrong]
  • A. Gerry Armstrong chosen
    Gerry Armstrong is a former Northern Irish footballer best known for scoring the winning goal against hosts Spain at the 1982 FIFA World Cup and later working as a coach and television pundit.
  • B. Gordon Bottomley
    Gordon Bottomley was an English poet and dramatist of the early 20th century, noted for his verse dramas and his role in the Georgian poetry movement.
  • C. Gerry Fisher
    Gerry Fisher was a British cinematographer known for his atmospheric visual style on numerous films from the 1960s through the 1990s.
  • D. Mike Gascoyne
    Mike Gascoyne is a British Formula One engineer renowned for his technical leadership roles at several F1 teams, including Jordan, Renault, Toyota, and Spyker.
  • E. Garry Leach
    Garry Leach was a British comic book artist and inker best known for his influential work on characters like Marvelman (Miracleman) and his contributions to 1980s UK comics.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131e1891081909cfbd9e2eb168808 completed April 28, 2026, 10:17 p.m.
Created at: April 8, 2026, 9:42 p.m.