Triple

T22596095
Position Surface form Disambiguated ID Type / Status
Subject Fathers and Daughters E574684 entity
Predicate starring P1507 FINISHED
Object Aaron Paul NE NERFINISHED

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: Aaron Paul | Statement: [Fathers and Daughters, starring, Aaron Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Paul
Context triple: [Fathers and Daughters, starring, Aaron Paul]
  • A. Aaron Paul chosen
    Aaron Paul is an American actor best known for his Emmy-winning role as Jesse Pinkman in the television series "Breaking Bad."
  • B. Aaron David Johnson
    Aaron David Johnson is an actor known for his role in the film "Detention."
  • C. Adam P. Scott
    Adam P. Scott is a film editor known for his work on the science-fiction movie "City of Ember."
  • D. Tom Everett Scott
    Tom Everett Scott is an American actor best known for his breakout leading role as the drummer Guy Patterson in the film "That Thing You Do!" and for numerous subsequent film and television appearances.
  • E. Logan Marshall-Green
    Logan Marshall-Green is an American actor and director known for his roles in films like "Prometheus" and "Upgrade" as well as various television series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16268cb54819084a0f27ec0473f35 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.