Triple

T9790189
Position Surface form Disambiguated ID Type / Status
Subject Triple 9 E237585 entity
Predicate hasCastMember P2308 FINISHED
Object Aaron Paul E241425 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: Aaron Paul | Statement: [Triple 9, hasCastMember, Aaron Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Paul
Context triple: [Triple 9, hasCastMember, 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. 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.
  • C. 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.
  • D. Ben Foster
    Ben Foster is a British composer and orchestrator best known for his work on television scores, including contributions to the revived Doctor Who series.
  • E. Ben Foster
    Ben Foster is an American actor known for his intense, often gritty performances in films such as "3:10 to Yuma," "Hell or High Water," and "The Messenger."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4e30bc81909b1dce4a0cc69991 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:28 p.m.