Triple

T14271527
Position Surface form Disambiguated ID Type / Status
Subject Rao E353796 entity
Predicate relatedTitle P914 FINISHED
Object Raja E310655 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: Raja | Statement: [Rao, relatedTitle, Raja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raja
Context triple: [Rao, relatedTitle, Raja]
  • A. Raja chosen
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • B. Rajarshi
    Rajarshi is an honorific title in ancient Indian tradition denoting a king who has attained the spiritual wisdom and detachment of a sage.
  • C. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • D. Raja Rani
    Raja Rani is a popular 2013 Tamil romantic drama film, best known for its ensemble cast and emotional portrayal of love and second chances.
  • E. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de65811d7c8190b075909a6570d415 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467d45c88190ac6ac280aa691591 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:10 a.m.