Triple

T4770977
Position Surface form Disambiguated ID Type / Status
Subject Leon Pinsker E105925 entity
Predicate familyName P18 FINISHED
Object Pinsker E105925 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: Pinsker | Statement: [Leon Pinsker, familyName, Pinsker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinsker
Context triple: [Leon Pinsker, familyName, Pinsker]
  • A. Pinsker chosen
    Pinsker is a Jewish surname most notably associated with Leo Pinsker, a 19th-century physician and early Zionist activist.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • D. Parnes
    Parnes is a mountain in Greece traditionally associated with the ancient Greek personifications of mountains known as the Ourea.
  • E. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655e5dcc8190a932be9b1baaffb2 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a94e340819080fe92a2024abdaf completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:21 p.m.