Triple

T10343590
Position Surface form Disambiguated ID Type / Status
Subject Peretz Smolenskin E243685 entity
Predicate givenName P17 FINISHED
Object Peretz E81473 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: Peretz | Statement: [Peretz Smolenskin, givenName, Peretz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peretz
Context triple: [Peretz Smolenskin, givenName, Peretz]
  • A. Peretz chosen
    Peretz is a Jewish surname most famously associated with I. L. Peretz, a seminal Yiddish and Hebrew writer of the late 19th and early 20th centuries.
  • B. Peretz Naftali
    Peretz Naftali was an Israeli economist and politician who served as a minister in Israel’s early governments and was a member of the Knesset for the Mapai party.
  • C. Peretz Rosenbaum
    Peretz Rosenbaum, better known as Paul Rand, was a pioneering American graphic designer renowned for his influential corporate logo designs for companies such as IBM, ABC, and UPS.
  • D. Motke Ganef
    Motke Ganef is a Yiddish novel by Sholem Asch that follows the life and moral struggles of a Jewish thief in Eastern European shtetl society.
  • E. Yehuda Peretz
    Yehuda Peretz is a personal name borne by various individuals, most commonly within Jewish and Israeli communities.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e92105888190a08104deb9d0cf1c completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75077dfbc81908de29aac1a3bb19f completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:55 a.m.