Triple

T9733615
Position Surface form Disambiguated ID Type / Status
Subject Candlelight Processional E236003 entity
Predicate hasRecurringRole P90709 FINISHED
Object celebrity guest narrator 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: celebrity guest narrator | Statement: [Candlelight Processional, hasRecurringRole, celebrity guest narrator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecurringRole
Context triple: [Candlelight Processional, hasRecurringRole, celebrity guest narrator]
  • A. hasRecurringElement
    Indicates that an entity includes an element that appears repeatedly or occurs multiple times within it.
  • B. recurringDuring
    Indicates that an event or state happens repeatedly within the time span or context defined by another event or interval.
  • C. hasRecurringSeriesProtagonists
    Indicates that a recurring series features one or more protagonists who appear repeatedly across its installments.
  • D. hasRecipientRole
    Indicates that a specified entity serves as the recipient or target role in a given interaction, transaction, or relationship.
  • E. hasGlobalRole
    Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb54fe481908b0202f104b75dc1 completed April 1, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69cd03c6ffc88190a5e9569e19122ad5 completed April 1, 2026, 11:38 a.m.
PDg Predicate description generation batch_69cd07c5c978819084abc7267a5ced80 completed April 1, 2026, 11:55 a.m.
Created at: March 30, 2026, 8:22 p.m.