Triple

T11433909
Position Surface form Disambiguated ID Type / Status
Subject Emperor Shōmu E270955 entity
Predicate laterLifeRole P81335 FINISHED
Object Buddhist monk 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: Buddhist monk | Statement: [Emperor Shōmu, laterLifeRole, Buddhist monk]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterLifeRole
Context triple: [Emperor Shōmu, laterLifeRole, Buddhist monk]
  • A. roleAfterRetirement
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • B. laterLifeEvent
    Indicates that one event, condition, or action occurs during a later stage in an entity’s life relative to earlier life phases.
  • C. laterLifePractice chosen
    Indicates that an individual engaged in a particular activity, role, or practice during the later period of their life.
  • D. laterPrimaryRole
    Indicates that an entity assumes a specified primary role at a later time than another role or state in a sequence.
  • E. turnedSenior
    Indicates that an entity has transitioned into senior status or a senior role relative to a previous state or position.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
PD Predicate disambiguation batch_69d7e71436f88190ac7e45a04ea5c987 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:35 p.m.