Triple

T12157421
Position Surface form Disambiguated ID Type / Status
Subject Benoît E289610 entity
Predicate hasGivenNameDay P59993 FINISHED
Object varies by country 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: varies by country | Statement: [Benoît, hasGivenNameDay, varies by country]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGivenNameDay
Context triple: [Benoît, hasGivenNameDay, varies by country]
  • A. hasNameDay
    Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
  • B. hasGivenNameTo
    Indicates that one entity has assigned or provided a given (first) name to another entity.
  • C. hasNameGivenTo
    Indicates that one entity is the name that has been assigned or given to another entity.
  • D. nameDayStatus
    Indicates the status or condition of a person's name day (e.g., whether it is set, active, upcoming, or celebrated).
  • E. hasNameDayRelation chosen
    Indicates a relationship where a person’s name is associated with a specific name day or feast day in a calendar.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69d9150c18148190bf8152189c0e5fca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.