Triple

T10248800
Position Surface form Disambiguated ID Type / Status
Subject Agatha E240287 entity
Predicate employer P7 FINISHED
Object Mendl’s E853761 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: Mendl’s | Statement: [Agatha, employer, Mendl’s]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mendl’s
Context triple: [Agatha, employer, Mendl’s]
  • A. Mendl’s bakery chosen
    Mendl’s bakery is a renowned patisserie in the film “The Grand Budapest Hotel,” famous for its delicate pastries and central role in the story’s plot and relationships.
  • B. Canter’s Deli
    Canter’s Deli is a historic, 24-hour Jewish delicatessen in Los Angeles renowned for its classic pastrami sandwiches, bakery, and role as a local cultural landmark.
  • C. Katz's Delicatessen
    Katz's Delicatessen is a famous New York City Jewish deli on the Lower East Side, renowned for its pastrami sandwiches and iconic appearance in popular culture.
  • D. Fenner's
    Fenner's is a historic cricket ground in Cambridge, England, best known as the main venue for Cambridge University Cricket Club matches.
  • E. Hecht's
    Hecht's was a regional department store chain in the Mid-Atlantic United States, later absorbed into Macy's.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23b620c8190b8a72d0eb0d16b93 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cbd67648190ba7faebd12d96ca9 completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:28 a.m.