Triple

T22298986
Position Surface form Disambiguated ID Type / Status
Subject Marie Syrkin E551202 entity
Predicate familyName P18 FINISHED
Object Syrkin NE NERFINISHED

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: Syrkin | Statement: [Marie Syrkin, familyName, Syrkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syrkin
Context triple: [Marie Syrkin, familyName, Syrkin]
  • A. Syrkin chosen
    Syrkin is a Jewish surname most notably associated with Nachman Syrkin, a pioneering theorist of socialist Zionism.
  • B. Syrdon
    Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Shiskine
    Shiskine is a small village on the Isle of Arran in Scotland, known for its rural setting and close-knit community.
  • E. Sidyma
    Sidyma was an ancient Lycian city in southwestern Anatolia, known for its rock-cut tombs and membership in the Lycian League.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15722c3348190b63eb49764ef132d completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.