Triple

T20389011
Position Surface form Disambiguated ID Type / Status
Subject The Mighty E498034 entity
Predicate stars P1956 FINISHED
Object Gillian Anderson NE NERFINISHED

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: Gillian Anderson | Statement: [The Mighty, stars, Gillian Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gillian Anderson
Context triple: [The Mighty, stars, Gillian Anderson]
  • A. Gillian Anderson chosen
    Gillian Anderson is an acclaimed American-British actress best known for her role as FBI Special Agent Dana Scully on the television series "The X-Files" and for her extensive work in film, television, and theater.
  • B. Robin Wright
    Robin Wright is an American actress and director best known for her acclaimed role as Claire Underwood in the political drama series "House of Cards."
  • C. Emma Campbell-Jones
    Emma Campbell-Jones is a British actress best known to genre audiences for her role in the Doctor Who universe, including the minisode "The Night of the Doctor."
  • D. Keeley Hawes
    Keeley Hawes is an English actress known for her versatile roles in television dramas such as "Line of Duty," "Bodyguard," and "Ashes to Ashes."
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.