Triple

T22146669
Position Surface form Disambiguated ID Type / Status
Subject Ajit Wadekar E547304 entity
Predicate givenName P17 FINISHED
Object Ajit NE NERFINISHED

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: Ajit | Statement: [Ajit Wadekar, givenName, Ajit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajit
Context triple: [Ajit Wadekar, givenName, Ajit]
  • A. Ajit chosen
    Ajit is a common Indian male given name, notably borne by former Indian cricketer Ajit Agarkar.
  • B. Ajit
    Ajit was an Indian film actor known for his suave villainous roles in Hindi cinema, particularly during the 1960s and 1970s.
  • C. Ajay Singh
    Ajay Singh is an Indian entrepreneur and airline executive best known as the co-founder and driving force behind the low-cost carrier SpiceJet.
  • D. Ajay Singh
    Ajay Singh is the fictional mastermind and leader of a group of con artists in the 2013 Indian heist film "Special 26."
  • E. Ajit Singh
    Ajit Singh was a prominent Indian revolutionary and freedom fighter who played a key role in the early struggle against British colonial rule.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f156988190bc9a24a37418e849 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.