Triple

T923738
Position Surface form Disambiguated ID Type / Status
Subject Rahul Gandhi E19937 entity
Predicate givenName P17 FINISHED
Object Rahul E19937 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: Rahul | Statement: [Rahul Gandhi, givenName, Rahul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rahul
Context triple: [Rahul Gandhi, givenName, Rahul]
  • A. Rahul Gandhi chosen
    Rahul Gandhi is an Indian politician and prominent leader of the Indian National Congress, known for being a key figure in national opposition politics and a member of the Nehru–Gandhi family.
  • B. Rajiv
    Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
  • C. Vijay Kumar
    Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
  • D. Sanjay Gandhi
    Sanjay Gandhi was a controversial Indian politician and influential figure during the Emergency period in the 1970s, widely seen as the political heir apparent within the Nehru–Gandhi family before his death in a plane crash.
  • E. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3296f50819087f809fbe90b139e completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac599117d48190b329ec50b9a632fc completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:40 p.m.