Triple

T10803766
Position Surface form Disambiguated ID Type / Status
Subject Raj Chandra Bose E254909 entity
Predicate givenName P17 FINISHED
Object Raj E255793 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: Raj | Statement: [Raj Chandra Bose, givenName, Raj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raj
Context triple: [Raj Chandra Bose, givenName, Raj]
  • A. Raj chosen
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • B. Ravi
    Ravi is a common Indian male given name of Sanskrit origin meaning "sun" or "sun god."
  • C. Ravi
    Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
  • D. Ramji
    Ramji is an Indian cinematographer known for his visually striking work in Tamil cinema, including the acclaimed film Paruthiveeran.
  • E. Raja
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de567a7ea0819088a2fa10f8367d89 completed April 14, 2026, 3 p.m.
Created at: April 8, 2026, 9:18 p.m.