Triple

T9953874
Position Surface form Disambiguated ID Type / Status
Subject Kwik-E-Mart E195396 entity
Predicate employsFictionalCharacter P26582 FINISHED
Object Sanjay Nahasapeemapetilon E195405 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: Sanjay Nahasapeemapetilon | Statement: [Kwik-E-Mart, employsFictionalCharacter, Sanjay Nahasapeemapetilon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanjay Nahasapeemapetilon
Context triple: [Kwik-E-Mart, employsFictionalCharacter, Sanjay Nahasapeemapetilon]
  • A. Apu Nahasapeemapetilon chosen
    Apu Nahasapeemapetilon is a recurring character from the animated television series "The Simpsons," known as the hardworking owner of the Kwik-E-Mart convenience store.
  • B. Beni Snous
    Beni Snous is a Berber (Amazigh) dialect group traditionally spoken in the Beni Snous region of northwestern Algeria, associated with the Zenati branch of Northern Berber languages.
  • C. Apu Ray
    Apu Ray is the young Bengali boy whose coming-of-age journey forms the emotional core of Satyajit Ray’s acclaimed Apu Trilogy.
  • D. Harla Branno
    Harla Branno is a character from Isaac Asimov's Foundation series, known as the formidable and politically astute Mayor of Terminus.
  • E. Max Nanasy
    Max Nanasy is a software engineer and writer known for contributions to programming tools and documentation, including work related to JSON5.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb694b95481909d049302818e7137 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2294335208190a0483c4e89abb359 completed April 5, 2026, 9:20 a.m.
Created at: March 30, 2026, 8:46 p.m.