Triple

T12017465
Position Surface form Disambiguated ID Type / Status
Subject Hosso sect E286062 entity
Predicate influencedBy P9 FINISHED
Object Asaṅga E940224 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: Asaṅga | Statement: [Hosso sect, influencedBy, Asaṅga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asaṅga
Context triple: [Hosso sect, influencedBy, Asaṅga]
  • A. Asaṅga chosen
    Asaṅga was a 4th-century Indian Buddhist philosopher and monk renowned as a principal founder and systematizer of the Yogācāra (Mind-Only) school of Mahāyāna Buddhism.
  • B. Kassapa
    Kassapa is another name for Mahākāśyapa, one of the principal disciples of the Buddha renowned for his asceticism and role in early Buddhist monastic leadership.
  • C. Buddhapālita
    Buddhapālita was an early Indian Buddhist philosopher and commentator renowned for articulating a subtle, non-assertive interpretation of Madhyamaka thought that strongly influenced later Prāsaṅgika traditions.
  • D. Bodhi
    Bodhi is the enlightened understanding or awakening in Buddhism, representing the profound realization of the true nature of reality.
  • E. Bodhi
    Bodhi is the charismatic, thrill-seeking surfer and bank robber who serves as the philosophical antagonist to FBI agent Johnny Utah in the film "Point Break."
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d9b17881908894be80d7c1b64e completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b53cd08819084a9335449844f12 completed May 1, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:47 p.m.