Triple

T4628615
Position Surface form Disambiguated ID Type / Status
Subject Pherozeshah Mehta E101159 entity
Predicate familyName P18 FINISHED
Object Mehta E403542 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: Mehta | Statement: [Pherozeshah Mehta, familyName, Mehta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mehta
Context triple: [Pherozeshah Mehta, familyName, Mehta]
  • A. Mehta chosen
    Mehta is a common Indian surname associated with various communities, often linked to professions such as merchants, accountants, and administrators.
  • B. Subhash
    Subhash is one of the central protagonists of Jhumpa Lahiri’s novel "The Lowland," depicted as a thoughtful, reserved brother whose life diverges sharply from his more radical sibling’s amid political turmoil in India.
  • C. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • D. Mehli Mehta
    Mehli Mehta was an Indian violinist and conductor who founded the Bombay Symphony Orchestra and was a significant figure in the development of Western classical music in India.
  • E. Badal
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a300e6081909fa9f504aada33ea completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab4f4808190920e420f566dec9b completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.