Triple

T38661142
Position Surface form Disambiguated ID Type / Status
Subject Tiṣya E940335 entity
Predicate childRenownedFor P191491 FINISHED
Object wisdom 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: wisdom | Statement: [Tiṣya, childRenownedFor, wisdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: childRenownedFor
Context triple: [Tiṣya, childRenownedFor, wisdom]
  • A. organFamousFor
    Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
  • B. famousIndividual
    Indicates that an individual is widely known and recognized by a large number of people, typically for notable achievements, status, or public visibility.
  • C. notableCulturalFigure
    Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
  • D. fatherNotableFor
    Indicates that a person's father is recognized or distinguished for a particular achievement, role, or characteristic.
  • E. madeInternationallyFamousBy
    Indicates that one entity became widely known across multiple countries as a result of the actions, influence, or association of another entity.
  • 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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdfbc71c481908ba7f87907b17782 completed May 7, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69fcdbe580b8819087f143596b2c79c0 completed May 7, 2026, 6:37 p.m.
PDg Predicate description generation batch_69fcdfbafbf48190abe38ec0003a6419 completed May 7, 2026, 6:53 p.m.
Created at: May 3, 2026, 4:33 p.m.