Triple

T10647926
Position Surface form Disambiguated ID Type / Status
Subject International Emmy Award for Best Telenovela E250884 entity
Predicate officialLanguageOfCeremony P2769 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: [International Emmy Award for Best Telenovela, officialLanguageOfCeremony, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageOfCeremony
Context triple: [International Emmy Award for Best Telenovela, officialLanguageOfCeremony, English]
  • A. languageOfCeremony chosen
    Indicates the language in which a ceremony is conducted or officially performed.
  • B. officialLanguageOfNomination
    Indicates the language officially used in the nomination process or documentation for a given entity.
  • C. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • D. officialLanguageOfTitle
    Indicates that a specified language is the officially designated language associated with a particular title or position.
  • E. languageOfOfficialAnnouncements
    Indicates the language used for formal or official public announcements issued by an authority.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69d6dd83b114819098e84dc658e82d7e completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:05 p.m.