Triple

T9563059
Position Surface form Disambiguated ID Type / Status
Subject Rube Waddell E230721 entity
Predicate famousAnecdote P79971 FINISHED
Object known for leaving games to chase fire trucks LITERAL 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: known for leaving games to chase fire trucks | Statement: [Rube Waddell, famousAnecdote, known for leaving games to chase fire trucks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: famousAnecdote
Context triple: [Rube Waddell, famousAnecdote, known for leaving games to chase fire trucks]
  • A. associatedWithAnecdote chosen
    Indicates a relationship where something is linked or connected to a particular anecdote, such as being based on, derived from, or exemplified by that anecdotal account.
  • B. notableFact
    Indicates that there exists a particularly significant or noteworthy fact or piece of information associated with the subject.
  • C. notableProductionFact
    Indicates a noteworthy or distinctive fact about how something was produced, created, or manufactured.
  • D. organFamousFor
    Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
  • E. notableGag
    Indicates that something features a particularly memorable or significant joke, comedic moment, or running gag.
  • F. None of above.

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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9965e7b881909df98e933db38092 completed April 1, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69ccd594d0ac8190a81bc11a3a538167 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:03 p.m.