Triple

T23467229
Position Surface form Disambiguated ID Type / Status
Subject Leave It to Beaver E569127 entity
Predicate starred P5563 FINISHED
Object Tony Dow NE NERFINISHED

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: Tony Dow | Statement: [Leave It to Beaver, starred, Tony Dow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Dow
Context triple: [Leave It to Beaver, starred, Tony Dow]
  • A. Tony Dow chosen
    Tony Dow was an American actor, director, and producer best known for playing Wally Cleaver on the classic television series "Leave It to Beaver."
  • B. Alan Cline
    Alan Cline is a computer scientist and academic known for his long-standing faculty role in the Department of Computer Science at the University of Texas at Austin.
  • C. Mike Morrow
    Mike Morrow is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Morrow.
  • D. Michele Dotrice
    Michele Dotrice is an English actress best known for her role as Betty Spencer in the classic BBC sitcom "Some Mothers Do 'Ave 'Em."
  • E. Darren McGavin
    Darren McGavin was an American actor best known for his roles in the television series "Kolchak: The Night Stalker" and as the gruff but loving father in the classic film "A Christmas Story."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6fc35c48190a67614fb4170f15b completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.