Triple

T12089983
Position Surface form Disambiguated ID Type / Status
Subject Szymon Perski E287915 entity
Predicate familyName P18 FINISHED
Object Perski E287915 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: Perski | Statement: [Szymon Perski, familyName, Perski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perski
Context triple: [Szymon Perski, familyName, Perski]
  • A. Perski chosen
    Perski is a Polish surname most notably borne by individuals such as Szymon Perski, better known as Shimon Peres, the former President and Prime Minister of Israel.
  • B. Rajsko
    Rajsko is a village in southern Poland located in the administrative district of Gmina Oświęcim in Lesser Poland Voivodeship.
  • C. Burúśaski
    Burúśaski is a language isolate spoken primarily in northern Pakistan, notable for its unique grammatical structure and lack of proven relation to any other language family.
  • D. Rusk
    Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
  • E. Pomaks
    Pomaks are a Slavic Muslim ethnic group primarily living in Bulgaria and neighboring Balkan regions, known for speaking a Bulgarian dialect and preserving distinct religious and cultural traditions.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915161f848190a6355c1e372eadaa completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66b2eb48190bae469d1dd82b119 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.