Triple

T17820785
Position Surface form Disambiguated ID Type / Status
Subject Moshe Leib Lilienblum E444975 entity
Predicate givenName P17 FINISHED
Object Leib 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: Leib | Statement: [Moshe Leib Lilienblum, givenName, Leib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leib
Context triple: [Moshe Leib Lilienblum, givenName, Leib]
  • A. Leib chosen
    Leib is a given name, often used as a Yiddish or Hebrew male first name.
  • B. LEIB
    LEIB is the ICAO airport code for Ibiza Airport, the main international airport serving the island of Ibiza in Spain.
  • C. Laibin
    Laibin is a prefecture-level city in south-central China known for its role as a regional transportation hub and its mix of industrial and agricultural development.
  • D. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • E. Leisi
    Leisi is a small settlement located on the island of Saaremaa in western Estonia.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48910eb8881908db8ec08e2752d7d completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.