Triple

T22591124
Position Surface form Disambiguated ID Type / Status
Subject Hindu pantheon E564951 entity
Predicate hasDeity P5606 FINISHED
Object Chandra 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: Chandra | Statement: [Hindu pantheon, hasDeity, Chandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandra
Context triple: [Hindu pantheon, hasDeity, Chandra]
  • A. Chandra
    Chandra is a common Indian surname shared by various notable individuals across fields such as mathematics, science, politics, and the arts.
  • B. Chandra chosen
    Chandra is the Hindu lunar deity associated with the Moon, often revered for his influence over emotions, fertility, and time.
  • C. Chandra
    Chandra is NASA’s flagship X-ray space observatory used to study high-energy phenomena such as black holes, supernova remnants, and hot gas in the universe.
  • D. Chand
    Chand is a common South Asian given name and surname derived from the Sanskrit word for "moon," often used across India and neighboring regions.
  • E. Candra
    Candra is a figure after whom the Cāndra school of Sanskrit grammar is named, indicating his role as an influential grammarian or scholar in that tradition.
  • 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.