Triple

T10937073
Position Surface form Disambiguated ID Type / Status
Subject Will Dormer E258360 entity
Predicate portrayedBy P1507 FINISHED
Object Al Pacino E57786 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: Al Pacino | Statement: [Will Dormer, portrayedBy, Al Pacino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Pacino
Context triple: [Will Dormer, portrayedBy, Al Pacino]
  • A. Al Pacino chosen
    Al Pacino is an acclaimed American actor known for his intense, charismatic performances in classic films such as The Godfather series, Scarface, and Scent of a Woman.
  • B. Robert De Niro
    Robert De Niro is an acclaimed American actor and producer renowned for his intense, transformative performances in films such as "Taxi Driver," "Raging Bull," and "The Godfather Part II."
  • C. Josie James Caan
    Josie James Caan is the daughter of American actor Scott Caan and his partner Kacy Byxbee.
  • D. Harvey Keitel
    Harvey Keitel is an American actor known for his intense, often morally complex roles in films by directors like Martin Scorsese and Quentin Tarantino, including classics such as "Mean Streets," "Taxi Driver," and "Reservoir Dogs."
  • E. James Caan
    James Caan was an American actor best known for his intense, charismatic performances in films such as "The Godfather," "Misery," and "Brian's Song."
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770b065288190b4216beee8e8a193 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bfd6a108190a0557598f68659fa completed April 17, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:23 p.m.