Triple

T5857194
Position Surface form Disambiguated ID Type / Status
Subject Marathi cinema E130183 entity
Predicate notableDirector P4744 FINISHED
Object Jabbar Patel E520150 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: Jabbar Patel | Statement: [Marathi cinema, notableDirector, Jabbar Patel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jabbar Patel
Context triple: [Marathi cinema, notableDirector, Jabbar Patel]
  • A. Jabbar Patel chosen
    Jabbar Patel is an acclaimed Indian theatre and film director known for his influential work in Marathi parallel cinema and politically charged stage productions.
  • B. Ravindra Patel
    Ravindra Patel is a notable individual bearing the surname Patel, recognized for achievements significant enough to be distinctly recorded.
  • C. Daleep Singh
    Daleep Singh is an American economic and national security official known for serving as a top White House advisor on international economics and for helping design U.S. sanctions policy.
  • D. Farokh Engineer
    Farokh Engineer is a former Indian cricketer and flamboyant wicket-keeper batsman who played for India in the 1960s and 1970s and later became a popular commentator.
  • E. Sikandar Raza
    Sikandar Raza is a Zimbabwean international cricketer known as a key all-rounder and match-winner in limited-overs formats.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355755508190ab349cdcf0c8a58d completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c00a8881908570f7127418e7ff completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:56 p.m.