Triple

T15927134
Position Surface form Disambiguated ID Type / Status
Subject Juan (Moonlight) E386230 entity
Predicate notableDialogue P42955 FINISHED
Object explains the origin of the nickname Little to Chiron 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: explains the origin of the nickname Little to Chiron | Statement: [Juan (Moonlight), notableDialogue, explains the origin of the nickname Little to Chiron]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableDialogue
Context triple: [Juan (Moonlight), notableDialogue, explains the origin of the nickname Little to Chiron]
  • A. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • B. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • C. notablePersonDiscussed
    Indicates that the subject entity includes or features a discussion about the referenced notable person.
  • D. notableSpeechAssociated chosen
    Indicates that a notable or significant speech is associated with a particular entity, such as a person, event, or location.
  • E. notableSpeechBy
    Indicates that a particular speech or address is notably given or delivered by a specific entity.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e172b48b308190bc430b2308cbc75b completed April 16, 2026, 11:37 p.m.
PD Predicate disambiguation batch_69e142cf5c548190a931f7b58144cd31 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:52 a.m.