Triple

T23062639
Position Surface form Disambiguated ID Type / Status
Subject The Report E574944 entity
Predicate starring P1507 FINISHED
Object Douglas Hodge NE NERFINISHED

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: Douglas Hodge | Statement: [The Report, starring, Douglas Hodge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Hodge
Context triple: [The Report, starring, Douglas Hodge]
  • A. Douglas Hodge chosen
    Douglas Hodge is an English actor and director known for his acclaimed work on stage and screen, including prominent roles in both classical theatre and television comedies.
  • B. Jonathan Gullis
    Jonathan Gullis is a British Conservative Party politician who has served as the Member of Parliament for Stoke-on-Trent North since 2019.
  • C. Ian Hanmore
    Ian Hanmore is a Scottish character actor known for his work in British film and television, including roles in series like Game of Thrones and Doctor Who.
  • D. Edgar Jones
    Edgar Jones is a former professional basketball player best known for his high-flying athleticism in the NBA during the early 1980s.
  • E. Harvey Postlethwaite
    Harvey Postlethwaite was a prominent British Formula One engineer and designer best known for his influential work on innovative and competitive race cars for several top teams during the 1970s–1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a0c3c881909f137ad511c216ac completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.