Triple

T21313281
Position Surface form Disambiguated ID Type / Status
Subject Pradyumna E525398 entity
Predicate associatedWith P37 FINISHED
Object Kamadeva NE NERFINISHED

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: Kamadeva | Statement: [Pradyumna, associatedWith, Kamadeva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamadeva
Context triple: [Pradyumna, associatedWith, Kamadeva]
  • A. Kamadeva chosen
    Kamadeva is the Hindu god of love and desire, often depicted as a youthful archer who inspires romantic attraction.
  • B. Sadyojata
    Sadyojata is one of the five faces of Lord Shiva, symbolizing creation and the westward aspect of the deity in Shaivite tradition.
  • C. Vritra
    Vritra is a powerful serpent or dragon-like demon in Hindu mythology, best known as the adversary slain by the god Indra to release the waters and restore cosmic order.
  • D. Rudra
    Rudra is a fierce and storm-associated Vedic deity later identified with the Hindu god Shiva, known for his destructive and healing powers.
  • E. Pururavas
    Pururavas is a legendary king in Hindu mythology, often regarded as an early lunar dynasty ruler and famed for his love story with the celestial nymph Urvashi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dcc6350819093763632b7e6e4ac completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:27 p.m.