Triple

T10367757
Position Surface form Disambiguated ID Type / Status
Subject Afterlife E244298 entity
Predicate character P662 FINISHED
Object Robert Bridge E860610 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: Robert Bridge | Statement: [Afterlife, character, Robert Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Bridge
Context triple: [Afterlife, character, Robert Bridge]
  • A. Robert Bridge chosen
    Robert Bridge is a central character in the British supernatural drama series "Afterlife," portrayed as a skeptical academic who becomes entangled with a medium and the spirit world.
  • B. Roger Ashton-Griffiths
    Roger Ashton-Griffiths is a British character actor and director known for his roles in film and television, including appearances in period dramas and fantasy productions.
  • C. Alex Bridgland
    Alex Bridgland is a scientific researcher known for co-authoring a 2021 Nature paper by Jumper et al., likely contributing to advances in computational biology or protein structure prediction.
  • D. Robert Dukes
    Robert Dukes is an author best known for writing the second installment of the "Bound" series.
  • E. Al Aynsley-Green
    Al Aynsley-Green is a British paediatrician and child health advocate who became the inaugural Children’s Commissioner for England, known for championing the rights and welfare of young people.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, noon