Triple

T10396476
Position Surface form Disambiguated ID Type / Status
Subject Humans E245033 entity
Predicate stars P1956 FINISHED
Object Neil Maskell E385925 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: Neil Maskell | Statement: [Humans, stars, Neil Maskell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Maskell
Context triple: [Humans, stars, Neil Maskell]
  • A. Neil Maskell chosen
    Neil Maskell is a British actor known for his intense performances in film and television, including prominent roles in crime dramas and psychological thrillers.
  • B. Shaun Parkes
    Shaun Parkes is a British actor known for his versatile performances in film, television, and theatre, including prominent roles in series such as "Casanova," "Doctor Who," and "Small Axe."
  • C. Martin Jarmond
    Martin Jarmond is an American college athletics administrator best known as the athletic director at UCLA and former AD at Boston College.
  • D. Neil Robinson
    Neil Robinson was a standout infielder in Negro league baseball, best known for his strong hitting and long tenure with teams such as the Memphis Red Sox.
  • E. Brian Molony
    Brian Molony is a former Canadian bank employee whose notorious embezzlement-fueled gambling addiction became the basis for the film "Owning Mahowny."
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9cf79348190975d6c1791e3b621 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b1d5b388190841ed0df2145ad7a completed April 10, 2026, 9:26 p.m.
Created at: April 6, 2026, 12:06 p.m.