Triple

T10527928
Position Surface form Disambiguated ID Type / Status
Subject Imagen Award E248352 entity
Predicate notableRecipient P108 FINISHED
Object Oscar Isaac E76856 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: Oscar Isaac | Statement: [Imagen Award, notableRecipient, Oscar Isaac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Isaac
Context triple: [Imagen Award, notableRecipient, Oscar Isaac]
  • A. Oscar Isaac chosen
    Oscar Isaac is a Guatemalan-American actor known for his versatile performances in films such as Inside Llewyn Davis, the Star Wars sequel trilogy, Ex Machina, and Dune.
  • B. Pablo Schreiber
    Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
  • C. Orson Cox
    Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
  • D. Andy García
    Andy García is a Cuban-American actor and director renowned for his roles in films such as "The Godfather Part III," "Ocean's Eleven," and "The Untouchables."
  • E. Jesse Plemons
    Jesse Plemons is an American actor known for his versatile roles in film and television, including standout performances in "Breaking Bad," "Fargo," and several acclaimed dramas.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f6f4a88190ae6e0cc0bcbff0c5 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933fffc4c81908798094f72a06d18 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:30 p.m.