Triple

T13931342
Position Surface form Disambiguated ID Type / Status
Subject Hot Girl Summer E334998 entity
Predicate becameCatchphrase P53722 FINISHED
Object Hot Girl Summer 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: Hot Girl Summer | Statement: [Hot Girl Summer, becameCatchphrase, Hot Girl Summer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: becameCatchphrase
Context triple: [Hot Girl Summer, becameCatchphrase, Hot Girl Summer]
  • A. franchiseCatchphraseOrigin
    Indicates the source within a larger franchise from which a particular catchphrase originally comes.
  • B. featuresCatchphrase chosen
    Indicates that an entity prominently includes or is associated with a particular catchphrase.
  • C. characterCatchphrase
    Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
  • D. usedPhrase
    Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
  • E. 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.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf13b2881908a48058a719d3745 completed April 14, 2026, 12:02 p.m.
PD Predicate disambiguation batch_69de059e4ba881908554f72e889719fa completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:16 p.m.