Triple

T21527467
Position Surface form Disambiguated ID Type / Status
Subject Lowden E531132 entity
Predicate hasNotableBearer P458 FINISHED
Object Jack Lowden 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: Jack Lowden | Statement: [Lowden, hasNotableBearer, Jack Lowden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Lowden
Context triple: [Lowden, hasNotableBearer, Jack Lowden]
  • A. Jack Lowden chosen
    Jack Lowden is a Scottish actor known for his acclaimed performances in film, television, and theatre, including a prominent role in Christopher Nolan’s war drama "Dunkirk."
  • B. Russell Tovey
    Russell Tovey is an English actor known for his work in television, film, and theatre, including prominent roles in series such as "Being Human," "Looking," and "Years and Years."
  • C. Harry Andrews
    Harry Andrews was a distinguished English character actor known for his powerful stage and screen performances in mid-20th-century British cinema.
  • D. Rafe Spall
    Rafe Spall is an English actor known for his roles in films such as "Life of Pi," "The Big Short," and "Hot Fuzz," as well as various television and stage productions.
  • E. Jonathan Bailey
    Jonathan Bailey is an Anglican clergyman who served as the Bishop of Derby in the Church of England.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88522e948190b9fa5a3587f32eae completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.