Triple

T6969506
Position Surface form Disambiguated ID Type / Status
Subject RRR E161566 entity
Predicate starring P1507 FINISHED
Object Ray Stevenson E207119 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: Ray Stevenson | Statement: [RRR, starring, Ray Stevenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Stevenson
Context triple: [RRR, starring, Ray Stevenson]
  • A. Ray Stevenson chosen
    Ray Stevenson was a Northern Irish actor known for his robust screen presence in films and television, including roles in action and comic book adaptations.
  • B. Blake Ritson
    Blake Ritson is a British actor and director known for his roles in television dramas such as "Da Vinci's Demons" and "Upstairs Downstairs," as well as for his extensive voice work in audiobooks and video games.
  • C. Adrian Lester
    Adrian Lester is a British actor and director acclaimed for his powerful stage performances in both classical and contemporary theatre, as well as notable roles in film and television.
  • D. Jonathan Hale
    Jonathan Hale was an American character actor known for his numerous supporting roles in Hollywood films from the 1930s through the 1950s.
  • E. Stephen Dillane
    Stephen Dillane is a British actor known for his nuanced performances in film, television, and theatre, including roles in "Game of Thrones," "The Tunnel," and "The Hours."
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7754815c8819091d1291f7cdfec1d completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:30 p.m.