Triple

T4005406
Position Surface form Disambiguated ID Type / Status
Subject Gob Bluth E89513 entity
Predicate portrayedBy P1507 FINISHED
Object Will Arnett E81847 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: Will Arnett | Statement: [Gob Bluth, portrayedBy, Will Arnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Arnett
Context triple: [Gob Bluth, portrayedBy, Will Arnett]
  • A. Will Arnett chosen
    Will Arnett is a Canadian-American actor and comedian best known for his deep-voiced comedic roles in television series like "Arrested Development" and in animated films.
  • B. Luke Wilson
    Luke Wilson is an American actor known for his roles in films such as "The Royal Tenenbaums," "Old School," and "Legally Blonde."
  • C. Jason Bateman
    Jason Bateman is an American actor, director, and producer best known for his roles in television series like "Arrested Development" and "Ozark" as well as numerous comedy and drama films.
  • D. Ryan Reynolds
    Ryan Reynolds is a Canadian-American actor and producer known for his charismatic performances and sharp comedic timing in films such as Deadpool, The Proposal, and Free Guy.
  • E. Dax Shepard
    Dax Shepard is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and the TV series "Parenthood," as well as for hosting the popular podcast "Armchair Expert."
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5f7b308190adaad864eec98936 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c648d3c8190a85e5cdfb20f6044 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:34 p.m.