Triple

T16235764
Position Surface form Disambiguated ID Type / Status
Subject Ketan Mehta E394105 entity
Predicate notableWork P4 FINISHED
Object Rang Rasiya E543607 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: Rang Rasiya | Statement: [Ketan Mehta, notableWork, Rang Rasiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rang Rasiya
Context triple: [Ketan Mehta, notableWork, Rang Rasiya]
  • A. Rang Rasiya chosen
    Rang Rasiya is an Indian period drama film that portrays the life and controversial art of painter Raja Ravi Varma, noted for its bold themes and performances.
  • B. La Russa
    La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
  • C. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • D. Zemshchina
    Zemshchina was the portion of Muscovy’s territory and population left under traditional administration during Ivan the Terrible’s reign, contrasting with the tsar’s personally controlled Oprichnina.
  • E. Mindia
    Mindia is a Georgian epic poem by Vazha-Pshavela that explores themes of freedom, nature, and moral duty through the tragic fate of its idealistic hero.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455abc608190ba3308c15c9e8a23 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed8cbe48190be68ccade55211ad completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.