Triple

T3973946
Position Surface form Disambiguated ID Type / Status
Subject Zubin Mehta E85595 entity
Predicate familyName P18 FINISHED
Object Mehta
Mehta is a common Indian surname associated with various communities, often linked to professions such as merchants, accountants, and administrators.
 E403542 NE FINISHED

How this triple was built (4 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: [Zubin Mehta, familyName, Mehta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mehta
Context triple: [Zubin Mehta, familyName, Mehta]
  • A. 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.
  • B. 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.
  • C. Badal
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • D. Pandey
    Pandey is an Indian surname commonly associated with Brahmin communities, notably borne by figures such as the 19th-century revolutionary Mangal Pandey.
  • E. Shankar
    Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mehta
Triple: [Zubin Mehta, familyName, Mehta]
Generated description
Mehta is a common Indian surname associated with various communities, often linked to professions such as merchants, accountants, and administrators.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mehta
Target entity description: Mehta is a common Indian surname associated with various communities, often linked to professions such as merchants, accountants, and administrators.
  • A. 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.
  • B. 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.
  • C. Badal
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • D. Pandey
    Pandey is an Indian surname commonly associated with Brahmin communities, notably borne by figures such as the 19th-century revolutionary Mangal Pandey.
  • E. Shankar
    Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
  • F. None of above. chosen

Provenance (5 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef99837cc8190b8b2464707f5e334 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540139c2c819080aa19b13540c76a completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b540ec36a4819082a9cbefc99bd683 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b5416d182c81908b1ae43ed097d288 completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:32 p.m.