Triple

T15985058
Position Surface form Disambiguated ID Type / Status
Subject Samuel Fischer E387670 entity
Predicate name P16 FINISHED
Object Samuel Fischer E387670 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: Samuel Fischer | Statement: [Samuel Fischer, name, Samuel Fischer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Fischer
Context triple: [Samuel Fischer, name, Samuel Fischer]
  • A. Samuel Fischer chosen
    Samuel Fischer was a prominent German publisher best known for founding the influential S. Fischer Verlag, which played a key role in modern German literature.
  • B. Samuel Diescher
    Samuel Diescher was a prominent 19th-century civil and mechanical engineer known for designing several American inclines and industrial structures, particularly in Pittsburgh.
  • C. Samuel Eichelbaum
    Samuel Eichelbaum was a pioneering New Zealand playwright and lawyer known for his influential contributions to early 20th-century New Zealand theatre.
  • D. Samuel Holdheim
    Samuel Holdheim was a pioneering 19th-century German rabbi and theologian who became one of the most radical and influential leaders of early Reform Judaism.
  • E. Samuel Unger
    Samuel Unger is a notable individual recognized as a prominent bearer of the Unger surname.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15757a3548190900de1962308f6b8 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cdf7848190848e9081027dc027 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.