Triple

T12770009
Position Surface form Disambiguated ID Type / Status
Subject Jackie Mason E305221 entity
Predicate familyName P18 FINISHED
Object Maza E793386 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: Maza | Statement: [Jackie Mason, familyName, Maza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maza
Context triple: [Jackie Mason, familyName, Maza]
  • A. Maza chosen
    Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
  • B. Gamocha
    Gamocha is a traditional Assamese handwoven cloth, typically white with red borders and motifs, used in cultural rituals, ceremonies, and as a symbol of respect in Assam, India.
  • C. Mirinda
    Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
  • D. Tej
    Tej is a masculine given name commonly used in South Asian cultures, particularly in India, often meaning "brightness" or "splendor."
  • E. Maggia
    The Maggia is a powerful fictional international crime syndicate in the Marvel Comics universe, often serving as a major organized-crime antagonist to superheroes like Iron Man and Spider-Man.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df4b36c81909bcc913dd5e535f8 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.