Triple

T10488512
Position Surface form Disambiguated ID Type / Status
Subject Trainspotting (1996 film) E247352 entity
Predicate mainCharacter P1183 FINISHED
Object Begbie E867014 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: Begbie | Statement: [Trainspotting (1996 film), mainCharacter, Begbie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begbie
Context triple: [Trainspotting (1996 film), mainCharacter, Begbie]
  • A. Begbie chosen
    Begbie is a violent, unpredictable Scottish hardman and one of the central characters in Irvine Welsh’s Trainspotting universe.
  • B. Balfe
    Balfe is a surname of Irish origin borne by various notable individuals in fields such as music, acting, and politics.
  • C. Colquhoun
    Colquhoun is a Scottish surname and Highland clan name historically associated with Clan Grant as one of its septs.
  • D. Gateacre
    Gateacre is a suburban district in south Liverpool, England, known for its historic village center and mix of Victorian and modern housing.
  • E. Moncrieff
    Moncrieff is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096b609c81909e23fd8fb6426f4a completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dc44d7881908391487275b845bf completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:23 p.m.