Triple

T7503581
Position Surface form Disambiguated ID Type / Status
Subject Golden Globe Award for Best Television Series – Musical or Comedy E177328 entity
Predicate languageOfMostWinners P77891 FINISHED
Object English 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: English | Statement: [Golden Globe Award for Best Television Series – Musical or Comedy, languageOfMostWinners, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfMostWinners
Context triple: [Golden Globe Award for Best Television Series – Musical or Comedy, languageOfMostWinners, English]
  • A. winnerLanguage
    Indicates that the associated language is the one used by, or officially recognized for, the winner in a given contest, award, or competitive event.
  • B. languageOfMostNominations
    Indicates the language in which the highest number of nominations (e.g., for awards or recognitions) have been made within a given context.
  • C. awardNameLanguage
    Indicates the language in which the name of an award is expressed.
  • D. languageOfCompetition
    Indicates the language in which a competition is conducted or officially presented.
  • E. majorityLanguageOf
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • F. None of above. chosen

Provenance (4 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81b431481908214b69c6c8d83bc completed March 27, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69c6f4d266d88190982cf5d2ee2e9564 completed March 27, 2026, 9:21 p.m.
PDg Predicate description generation batch_69c6f8184bb08190b2f70545a6aa277c completed March 27, 2026, 9:35 p.m.
Created at: March 27, 2026, 3:44 p.m.