Triple

T16973234
Position Surface form Disambiguated ID Type / Status
Subject Purushottam Das Tandon E411740 entity
Predicate honorificPrefix P536 FINISHED
Object Rajrishi E885836 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: Rajrishi | Statement: [Purushottam Das Tandon, honorificPrefix, Rajrishi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajrishi
Context triple: [Purushottam Das Tandon, honorificPrefix, Rajrishi]
  • A. Rajarshi chosen
    Rajarshi is an honorific title in ancient Indian tradition denoting a king who has attained the spiritual wisdom and detachment of a sage.
  • B. Yantra Raj
    Yantra Raj is a monumental astronomical instrument at Jaipur’s Jantar Mantar observatory, historically used for precise celestial measurements and timekeeping.
  • C. Ranganayaki
    Ranganayaki is the principal consort goddess (often identified with Lakshmi) worshipped at the Sri Ranganathaswamy Temple in Srirangam.
  • D. Dwajarohanam
    Dwajarohanam is a ceremonial flag-hoisting ritual that marks the formal commencement of the Brahmotsavam festival in Hindu temple traditions.
  • E. Lord of Bañares
    Lord of Bañares was a noble title in the Crown of Castile held by the powerful 15th-century Spanish aristocrat Álvaro de Zúñiga y Guzmán.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ae47f08190a13e98d20aba7f16 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4738fbc819099e8281ebc777091 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.