Triple

T8486332
Position Surface form Disambiguated ID Type / Status
Subject A Most Violent Year E200840 entity
Predicate starring P1507 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: [A Most Violent Year, starring, Oscar Isaac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Isaac
Context triple: [A Most Violent Year, starring, 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:13 p.m.