Triple

T12869160
Position Surface form Disambiguated ID Type / Status
Subject Hotel Mumbai E307801 entity
Predicate castMember P1668 FINISHED
Object Jason Isaacs E134250 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: Jason Isaacs | Statement: [Hotel Mumbai, castMember, Jason Isaacs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Isaacs
Context triple: [Hotel Mumbai, castMember, Jason Isaacs]
  • A. Jason Isaacs chosen
    Jason Isaacs is an English actor best known for his roles as Lucius Malfoy in the Harry Potter film series and as a versatile performer in both film and television.
  • B. Toby Jones
    Toby Jones is an English character actor known for his versatile performances in film, television, and theatre, including roles in projects such as "Infamous," the "Harry Potter" series, and "The Hunger Games."
  • C. Rufus Sewell
    Rufus Sewell is a British actor known for his intense screen presence and roles in films like "Dark City," "A Knight’s Tale," and numerous period dramas and television series.
  • D. Stephen Norton
    Stephen Norton is a mathematician known for his contributions to the theory of finite groups and the Monster group in particular.
  • E. Anthony Howell
    Anthony Howell is a British actor known for his work in television, film, and theatre, including prominent roles in period dramas.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55161a881908d767653c17d3acc completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:38 p.m.