Triple

T10537484
Position Surface form Disambiguated ID Type / Status
Subject Semyon E248607 entity
Predicate relatedName P3889 FINISHED
Object Shimon E50265 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: Shimon | Statement: [Semyon, relatedName, Shimon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimon
Context triple: [Semyon, relatedName, 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. Pinhas
    Pinhas is a masculine given name of Hebrew origin, commonly used in Jewish communities and derived from a biblical figure.
  • D. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • E. Shlomtzion
    Shlomtzion is the Hebrew name of Salome Alexandra, a 1st-century BCE Hasmonean queen of Judea known for her pious rule and support of the Pharisees.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a56133c819088285522e64831f7 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e5b827881909e87651a88976f18 completed April 10, 2026, 2:51 p.m.
Created at: April 6, 2026, 12:31 p.m.