Triple

T15374637
Position Surface form Disambiguated ID Type / Status
Subject Charles Fleischmann E367635 entity
Predicate familyName P18 FINISHED
Object Fleischmann E866153 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: Fleischmann | Statement: [Charles Fleischmann, familyName, Fleischmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleischmann
Context triple: [Charles Fleischmann, familyName, Fleischmann]
  • A. Fleischmann chosen
    Fleischmann is a German-language surname borne by various notable individuals across fields such as music, science, and the arts.
  • B. Dr. Oetker
    Dr. Oetker is a German multinational food company best known for its baking products, desserts, frozen pizzas, and other convenience foods.
  • C. Wonder Bread
    Wonder Bread is a long-standing American brand of soft, sliced white bread known for its colorful packaging and association with classic supermarket loaves.
  • D. Tönnies
    Tönnies is a German surname most notably associated with the sociologist Ferdinand Tönnies, a founding figure of modern sociology.
  • E. Oscar Mayer
    Oscar Mayer was a German-American entrepreneur best known for founding the Oscar Mayer meat and cold cut company, a major U.S. food brand.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5d6f808190b0a4cdb35dc89e69 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6b67c08190b0df6b9fd65ff28b completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:18 a.m.