Triple

T13603091
Position Surface form Disambiguated ID Type / Status
Subject The Rite E324991 entity
Predicate starring P1507 FINISHED
Object Colin O’Donoghue E865359 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: Colin O’Donoghue | Statement: [The Rite, starring, Colin O’Donoghue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colin O’Donoghue
Context triple: [The Rite, starring, Colin O’Donoghue]
  • A. Colin O'Donoghue chosen
    Colin O'Donoghue is an Irish actor best known for playing Captain Hook/Killian Jones on the television series "Once Upon a Time" and for his work in film and voice acting.
  • B. Alan Tudyk
    Alan Tudyk is an American actor and voice actor known for his versatile character roles in films, television, and animation, including work with Disney and on series like "Firefly."
  • C. Marc Tarpenning
    Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
  • D. Michael Mando
    Michael Mando is a Canadian actor best known for his role as Nacho Varga in the television series Better Call Saul and for his work in film and video games such as Far Cry 3.
  • E. Tony Amendola
    Tony Amendola is an American actor best known for his roles in television series like "Stargate SG-1" and "Once Upon a Time," as well as various film and stage performances.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f93ec588190993baec788d22670 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.