Triple

T3451877
Position Surface form Disambiguated ID Type / Status
Subject Gainsight E72810 entity
Predicate chiefExecutiveOfficer P2568 FINISHED
Object Nick Mehta E358408 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: Nick Mehta | Statement: [Gainsight, chiefExecutiveOfficer, Nick Mehta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Mehta
Context triple: [Gainsight, chiefExecutiveOfficer, Nick Mehta]
  • A. Nick Mehta chosen
    Nick Mehta is a technology executive best known as the CEO of Gainsight and a prominent advocate and thought leader in the field of customer success.
  • B. Amin Bhatia
    Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
  • C. Neel Sethi
    Neel Sethi is an American actor best known for playing Mowgli in Disney’s 2016 live-action adaptation of The Jungle Book.
  • D. Vincent Kapoor
    Vincent Kapoor is a fictional NASA official in Andy Weir’s science-fiction novel and its film adaptation "The Martian," responsible for overseeing the mission to rescue stranded astronaut Mark Watney.
  • E. Maulik Pancholy
    Maulik Pancholy is an American actor and author best known for his comedic television roles, including his portrayal of Jonathan on the sitcom "30 Rock."
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7465248190947f9096e230e1c4 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367ff05a08190a0c4df5ebfb9741d completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:16 p.m.