Triple

T18737890
Position Surface form Disambiguated ID Type / Status
Subject Sanjaya E458211 entity
Predicate receivesBoonFrom P52361 FINISHED
Object Vyasa NE NERFINISHED

How this triple was built (3 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: Vyasa | Statement: [Sanjaya, receivesBoonFrom, Vyasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyasa
Context triple: [Sanjaya, receivesBoonFrom, Vyasa]
  • A. Vyasa chosen
    Vyasa is the legendary sage in Hindu tradition credited with composing and compiling the Mahabharata and organizing the Vedas.
  • B. Kumara Vyasa
    Kumara Vyasa was a renowned medieval Kannada poet best known for his epic retelling of the Mahabharata, "Karnata Bharata Kathamanjari."
  • C. Vaishampayana
    Vaishampayana is an ancient sage and disciple of Vyasa, best known in Hindu tradition for reciting and transmitting the Mahabharata.
  • D. Valmiki
    Valmiki is the revered ancient Indian sage traditionally credited with composing the epic Sanskrit poem Ramayana.
  • E. Bādarāyaṇa
    Bādarāyaṇa is an ancient Indian sage traditionally credited with authoring the Brahma Sūtras, a foundational text of the Vedānta school of Hindu philosophy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivesBoonFrom
Context triple: [Sanjaya, receivesBoonFrom, Vyasa]
  • A. usedBoonsFrom
    Indicates that one entity has utilized or expended beneficial effects, powers, or advantages that originated from another entity.
  • B. grantedAsRewardFor
    Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
  • C. recipientOf chosen
    Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
  • D. awardedForToReceive
    Indicates that an entity is granted an award or recognition in order to receive it for a specific reason, achievement, or qualifying basis.
  • E. blessedBy
    Indicates that one entity has conferred a blessing, favor, or sacred endorsement upon another entity.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69e48d03766c8190a43f7681842f4f8d completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:51 a.m.