Triple

T11674278
Position Surface form Disambiguated ID Type / Status
Subject Śāriputra E277451 entity
Predicate dialogueRoleIn P9564 FINISHED
Object Heart Sūtra opening interlocutor 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: Heart Sūtra opening interlocutor | Statement: [Śāriputra, dialogueRoleIn, Heart Sūtra opening interlocutor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dialogueRoleIn
Context triple: [Śāriputra, dialogueRoleIn, Heart Sūtra opening interlocutor]
  • A. roleInDialogue chosen
    Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
  • B. roleInScene
    Indicates that an entity participates in a particular scene with a specific role or function within that scene.
  • C. playRoleIn
    Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
  • D. speakerRole
    Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
  • E. roleInVox
    Indicates that an entity holds a specific role or function within a Vox-related context, such as a project, system, or organization named or described as "Vox."
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a443b6848190a1eb6825fbc49d08 completed April 10, 2026, 7:18 a.m.
PD Predicate disambiguation batch_69d88a77e6e88190b7519100bde76575 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.