Triple

T12166882
Position Surface form Disambiguated ID Type / Status
Subject Szymon E289855 entity
Predicate hasEquivalentInHebrew P28329 FINISHED
Object Shimon E50265 NE FINISHED

How this triple was built (3 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: Shimon | Statement: [Szymon, hasEquivalentInHebrew, Shimon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimon
Context triple: [Szymon, hasEquivalentInHebrew, Shimon]
  • A. Shimon chosen
    Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
  • B. Yariv
    Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
  • C. Yair
    Yair is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities worldwide.
  • D. Pinhas
    Pinhas is a masculine given name of Hebrew origin, commonly used in Jewish communities and derived from a biblical figure.
  • E. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEquivalentInHebrew
Context triple: [Szymon, hasEquivalentInHebrew, Shimon]
  • A. hasNameInHebrew
    Indicates that an entity is associated with a specific name expressed in the Hebrew language.
  • B. oftenRenderedFromHebrewTerm
    Indicates that one term is frequently used as the translation or rendering of a corresponding term originating from Hebrew.
  • C. hebrewMeaning
    Indicates that one entity specifies or provides the meaning or translation of another entity in the Hebrew language.
  • D. languageEquivalent chosen
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • E. equivalentIn
    Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
  • F. None of above.

Provenance (4 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91621ca6c81908365732f361aef13 completed April 10, 2026, 3:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a85e42481908c5517a24f7688e0 completed May 2, 2026, 2:30 p.m.
PD Predicate disambiguation batch_69d9150e85348190b9b47cda4a17dcd0 completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.