Triple

T4512888
Position Surface form Disambiguated ID Type / Status
Subject Gautama E102090 entity
Predicate name P16 FINISHED
Object Gautama E102090 NE 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: Gautama | Statement: [Gautama, name, Gautama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gautama
Context triple: [Gautama, name, Gautama]
  • A. Gautama chosen
    Gautama is an ancient Indian sage and philosopher traditionally credited with founding the Nyaya school of Hindu logic and epistemology.
  • B. Buddha
    "Buddha" is a biographical and historical study of Siddhartha Gautama by religious historian Karen Armstrong, exploring the life, teachings, and enduring influence of the Buddha.
  • C. Shakyamuni Buddha
    Shakyamuni Buddha is the historical founder of Buddhism, revered as an enlightened teacher who attained awakening and taught the path to liberation from suffering.
  • D. Bodhi
    Bodhi is the enlightened understanding or awakening in Buddhism, representing the profound realization of the true nature of reality.
  • E. Bồ Đề
    Bồ Đề is an urban ward of Long Biên District in Hanoi, Vietnam, known for its dense residential areas and proximity to central Hanoi across the Red River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5722d8fc81909c5f2d9a38d17a6b completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f8b19ac819099e9249d31660f52 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:02 p.m.