Triple

T3621486
Position Surface form Disambiguated ID Type / Status
Subject Semi-Pro E76736 entity
Predicate starring 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: [Semi-Pro, starring, Will Arnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Arnett
Context triple: [Semi-Pro, starring, 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b9aa608190a680b250ecf63156 completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f0e8d1c8190ae1728d07d5a9e87 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.