Triple

T22591142
Position Surface form Disambiguated ID Type / Status
Subject Hindu pantheon E564951 entity
Predicate hasDeity P5606 FINISHED
Object Mahadeva 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: Mahadeva | Statement: [Hindu pantheon, hasDeity, Mahadeva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahadeva
Context triple: [Hindu pantheon, hasDeity, Mahadeva]
  • A. Mahadeva chosen
    Mahadeva is a principal form of the Hindu god Shiva, revered as the supreme deity and great lord in Shaivism.
  • B. Svayambhudeva
    Svayambhudeva was a notable medieval Jain scholar and poet who composed influential works in the Apabhramsha language.
  • C. Mahadev
    Mahadev is the naive yet well-meaning aspiring writer who serves as the central protagonist and narrator in the satirical Hindi film "Welcome to Sajjanpur."
  • D. Mahalakadeva
    Mahalakadeva was the last known ruler of the Paramara dynasty of Malwa, remembered for his resistance against the Delhi Sultanate in the early 14th century.
  • E. Shivrinarayan
    Shivrinarayan is a small town in Chhattisgarh, India, known as a Hindu pilgrimage site associated with the Ramayana and situated on the banks of the Hasdeo River.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16160651081909d23735336fd7a16 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:48 p.m.