Triple

T13278258
Position Surface form Disambiguated ID Type / Status
Subject Ferenc Deák E316247 entity
Predicate workLocation P7 FINISHED
Object Pest E70139 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: Pest | Statement: [Ferenc Deák, workLocation, Pest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pest
Context triple: [Ferenc Deák, workLocation, Pest]
  • A. Pest chosen
    Pest is the historic eastern part of modern-day Budapest, known as a former independent city on the flat bank of the Danube that later merged with Buda and Óbuda.
  • B. Pest
    Pest is a streetwise teenage gang member from the South London sci-fi film "Attack the Block," known for his comic relief and loyalty during the alien invasion.
  • C. The Pest
    The Pest is a 1997 slapstick comedy film starring John Leguizamo as a fast-talking con artist who becomes the target of a deadly manhunt.
  • D. Pest Station
    Pest Station was the historical name of Budapest’s Nyugati railway station, one of the main rail terminals in Hungary’s capital and a key hub for regional and international train services.
  • E. Vermin
    Vermin is a Marvel Comics supervillain and recurring Spider-Man enemy known for his rat-like appearance, cannibalistic tendencies, and tragic history of abuse and experimentation.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99043fba88190872ede6f63e2fbcb completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a56fa048190b32dcef31b978d9c completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.