Triple

T9937669
Position Surface form Disambiguated ID Type / Status
Subject Lara Croft E193996 entity
Predicate portrayedBy P1507 FINISHED
Object Keeley Hawes E352380 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: Keeley Hawes | Statement: [Lara Croft, portrayedBy, Keeley Hawes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keeley Hawes
Context triple: [Lara Croft, portrayedBy, Keeley Hawes]
  • A. Keeley Hawes chosen
    Keeley Hawes is an English actress known for her versatile roles in television dramas such as "Line of Duty," "Bodyguard," and "Ashes to Ashes."
  • B. Anne-Marie Duff
    Anne-Marie Duff is an acclaimed English actress known for her powerful performances in television dramas such as "Shameless" and "The Virgin Queen," as well as in film and theatre.
  • C. Jessica Riley
    Jessica Riley is a flirtatious and popular teenager who is one of the playable protagonists in the horror video game Until Dawn.
  • D. Miranda Raison
    Miranda Raison is an English actress known for her work in television, film, and theatre, including roles in "Spooks," "Doctor Who," and various stage productions.
  • E. Tamsin Greig
    Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228f259b081909ce8a90ec1adad0d completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:44 p.m.