Triple

T13609137
Position Surface form Disambiguated ID Type / Status
Subject George Wendt E325140 entity
Predicate relative P37 FINISHED
Object Jason Sudeikis E71697 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: Jason Sudeikis | Statement: [George Wendt, relative, Jason Sudeikis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Sudeikis
Context triple: [George Wendt, relative, Jason Sudeikis]
  • A. Jason Sudeikis chosen
    Jason Sudeikis is an American actor, comedian, writer, and producer best known for his work on "Saturday Night Live" and for creating and starring in the acclaimed series "Ted Lasso."
  • B. Otis Sudeikis
    Otis Sudeikis is the son of American actor and comedian Jason Sudeikis and actress Olivia Wilde.
  • C. Joel McHale
    Joel McHale is an American actor, comedian, and television host best known for leading the satirical series "The Soup" and starring on the sitcom "Community."
  • D. Billy Eichner
    Billy Eichner is an American actor, comedian, and writer best known for his energetic street-interview series "Billy on the Street" and various film and television roles.
  • E. Michael Urie
    Michael Urie is an American actor best known for his role as Marc St. James on the television series "Ugly Betty" and for his extensive work in theater and film.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942c7f948190a62a8d2f69262ef3 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:50 p.m.