Triple

T12225507
Position Surface form Disambiguated ID Type / Status
Subject Bewitched E291339 entity
Predicate characterPortrayed P1507 FINISHED
Object Larry Tate E972770 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: Larry Tate | Statement: [Bewitched, characterPortrayed, Larry Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Tate
Context triple: [Bewitched, characterPortrayed, Larry Tate]
  • A. Larry Tate chosen
    Larry Tate is a recurring character on the classic television sitcom "Bewitched," known as Darrin Stephens' often demanding and opportunistic advertising boss.
  • B. Fred Tate
    Fred Tate is a child prodigy whose extraordinary intellectual abilities and emotional struggles are central to the drama film "Little Man Tate."
  • C. Paul Tate
    Paul Tate was a U.S. Army intelligence officer and the father of actress Sharon Tate.
  • D. Tim O’Hara
    Tim O’Hara is the bumbling but good-hearted newspaper reporter who discovers and befriends a stranded Martian in the classic 1960s sitcom "My Favorite Martian."
  • E. Arthur Demarest
    Arthur Demarest is an American archaeologist and Mayanist scholar known for his extensive research on Classic Maya civilization and leadership of major excavations in the Petexbatún region of Guatemala.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5c1c988190a80917dfe782a6b6 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.