Triple

T3653444
Position Surface form Disambiguated ID Type / Status
Subject Civil War (2024 film) E77473 entity
Predicate starring P1507 FINISHED
Object Wagner Moura E202170 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: Wagner Moura | Statement: [Civil War (2024 film), starring, Wagner Moura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagner Moura
Context triple: [Civil War (2024 film), starring, Wagner Moura]
  • A. Wagner Moura chosen
    Wagner Moura is a Brazilian actor and filmmaker best known internationally for his roles in the film "Elite Squad" and the Netflix series "Narcos."
  • B. Rodrigo Santoro
    Rodrigo Santoro is a Brazilian actor known internationally for roles in films such as "300," "Love Actually," and "Rio," as well as the TV series "Westworld."
  • C. Sami Malek
    Sami Malek is an American educator and the twin brother of Oscar-winning actor Rami Malek.
  • D. Oscar Isaac
    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.
  • E. Andrew Scott
    Andrew Scott is an Irish actor known for his acclaimed stage work and screen roles, including his portrayal of Moriarty in "Sherlock" and appearances in films such as "1917."
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b805a48190a7bc230a382365d6 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4541dc8190b794eae019dcffbf completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.