Triple

T8033091
Position Surface form Disambiguated ID Type / Status
Subject Logan E187033 entity
Predicate stars P1956 FINISHED
Object Richard E. Grant E110734 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: Richard E. Grant | Statement: [Logan, stars, Richard E. Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard E. Grant
Context triple: [Logan, stars, Richard E. Grant]
  • A. Richard E. Grant chosen
    Richard E. Grant is a Swazi-English actor and director best known for his breakout role in the cult film "Withnail and I" and for his diverse performances in both British and Hollywood cinema.
  • B. James Bolam
    James Bolam is an English actor best known for his roles in classic British television series such as "The Likely Lads" and "New Tricks."
  • C. Martin Clunes
    Martin Clunes is an English actor and comedian best known for his lead role in the television series "Doc Martin" and his work on the sitcom "Men Behaving Badly."
  • D. Douglas Hodge
    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.
  • E. Bill Nighy
    Bill Nighy is an English actor known for his distinctive voice and acclaimed performances in films such as "Love Actually," "Pirates of the Caribbean," and "About Time."
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef3e6848190913c4b1bef506aae completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56ede1ac8190afd8a050e9a25851 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:22 p.m.