Triple

T12402363
Position Surface form Disambiguated ID Type / Status
Subject Harold & Kumar Escape from Guantanamo Bay E296288 entity
Predicate mainCharacter P1183 FINISHED
Object Kumar Patel E294664 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: Kumar Patel | Statement: [Harold & Kumar Escape from Guantanamo Bay, mainCharacter, Kumar Patel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumar Patel
Context triple: [Harold & Kumar Escape from Guantanamo Bay, mainCharacter, Kumar Patel]
  • A. Kumar Patel chosen
    Kumar Patel is a laid-back, marijuana-loving Korean American character from the "Harold & Kumar" comedy film series, known for his misadventurous escapades with his best friend Harold Lee.
  • B. Ravindra Patel
    Ravindra Patel is a notable individual bearing the surname Patel, recognized for achievements significant enough to be distinctly recorded.
  • C. Santosh Patel
    Santosh Patel is the practical, zoo-owning father of protagonist Piscine Molitor Patel in Yann Martel’s novel "Life of Pi."
  • D. Naren Patel
    Naren Patel is a notable individual distinguished by achievements significant enough to be specifically recognized among people with the surname Patel.
  • E. Sanjay Patel
    Sanjay Patel is a common Indian name shared by several notable individuals, including professionals in fields such as animation, business, and academia.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d477004819095e65ef6f70c69d9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671852f588190924ded1c0a360b47 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:55 p.m.