Triple

T15357378
Position Surface form Disambiguated ID Type / Status
Subject Riddler E367196 entity
Predicate portrayedBy P1507 FINISHED
Object Paul Dano E127932 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: Paul Dano | Statement: [Riddler, portrayedBy, Paul Dano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Dano
Context triple: [Riddler, portrayedBy, Paul Dano]
  • A. Paul Dano chosen
    Paul Dano is an American actor and filmmaker known for his intense, often offbeat performances in films such as "There Will Be Blood," "Little Miss Sunshine," and "Prisoners."
  • B. Curtis Hudson
    Curtis Hudson was an American songwriter best known for co-writing Madonna’s hit song “Holiday.”
  • C. Jason Boyd
    Jason Boyd, better known as Poo Bear, is an American songwriter and producer renowned for his extensive collaborations with artists like Justin Bieber.
  • D. Mark Duplass
    Mark Duplass is an American actor, writer, director, and producer known for his work in independent film and television, including co-creating the HBO series "Togetherness" and starring in numerous mumblecore and comedy-dramas.
  • E. Michael Angarano
    Michael Angarano is an American actor known for his work in independent films and television, including prominent roles in projects like "Sky High," "The Forbidden Kingdom," and the series "This Is Us."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b45e3048190a7fa62ead6916fed completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.