Triple

T16932710
Position Surface form Disambiguated ID Type / Status
Subject Phil Rizzuto E410750 entity
Predicate broadcastCatchphrase P74838 FINISHED
Object Holy cow! 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: Holy cow! | Statement: [Phil Rizzuto, broadcastCatchphrase, Holy cow!]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: broadcastCatchphrase
Context triple: [Phil Rizzuto, broadcastCatchphrase, Holy cow!]
  • A. openingCatchphrase
    Indicates that one entity is a characteristic phrase or line regularly used by another entity at the beginning of a recurring performance, appearance, or communication.
  • B. featuresCatchphrase
    Indicates that an entity prominently includes or is associated with a particular catchphrase.
  • C. hasCatchphraseStyle
    Indicates that an entity’s catchphrase conforms to, or is characterized by, a particular stylistic pattern or manner of expression.
  • D. characterCatchphrase chosen
    Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
  • E. broadcastVia
    Indicates that an action, message, or content is transmitted or disseminated through a specified medium, channel, or platform.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2650e08190b669d0cf2cf1275b completed April 18, 2026, 6:36 p.m.
PD Predicate disambiguation batch_69e32b982f548190b08414d55810de19 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:30 a.m.