Triple

T15386050
Position Surface form Disambiguated ID Type / Status
Subject General Hux E367917 entity
Predicate portrayedBy P1507 FINISHED
Object Domhnall Gleeson E291083 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: Domhnall Gleeson | Statement: [General Hux, portrayedBy, Domhnall Gleeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domhnall Gleeson
Context triple: [General Hux, portrayedBy, Domhnall Gleeson]
  • A. Domhnall Gleeson chosen
    Domhnall Gleeson is an Irish actor and writer known for his versatile roles in films such as Ex Machina, the Harry Potter series, and the Star Wars sequel trilogy.
  • B. Nicholas Farrell
    Nicholas Farrell is a British actor known for his work in film, television, and theatre, including prominent roles in productions such as Kenneth Branagh’s "Hamlet" and the historical drama "Chariots of Fire."
  • C. Brendan Gleeson
    Brendan Gleeson is an acclaimed Irish actor known for his powerful character roles in films such as In Bruges, The Guard, and the Harry Potter series.
  • D. Chris O'Dowd
    Chris O'Dowd is an Irish actor and comedian best known for his roles in the sitcom "The IT Crowd" and various film comedies.
  • E. Jack O’Connell
    Jack O’Connell is an English actor known for his intense performances in film and television, including prominent roles in projects like "Skins," "’71," and "Unbroken."
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e74ff70819094c1a85f51d6e228 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6d35148190aa4dc0c2a7bf849d completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:19 a.m.