Triple

T14986274
Position Surface form Disambiguated ID Type / Status
Subject Fishman E373709 entity
Predicate hasVariant P455 FINISHED
Object Fischermann E1129486 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: Fischermann | Statement: [Fishman, hasVariant, Fischermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fischermann
Context triple: [Fishman, hasVariant, Fischermann]
  • A. Fischmann chosen
    Fischmann is a surname variant of Fishman, typically of Ashkenazi Jewish origin.
  • B. Fischel
    Fischel is the birth name of Fred Lebow, the Romanian-American founder and long-time director of the New York City Marathon.
  • C. Jungmann
    Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
  • D. Fischamend
    Fischamend is a small town in Lower Austria, Austria, located near Vienna and close to Vienna International Airport.
  • E. Freidig
    Freidig is the former name of the Norwegian football club Hamarkameratene, commonly known as HamKam.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7007588819095bb1de029a6f2eb completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9694aa688190bbecb645c49e795e completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:52 a.m.