Triple

T6555877
Position Surface form Disambiguated ID Type / Status
Subject Simone E152444 entity
Predicate hasVariant P455 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: [Simone, hasVariant, Shimon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimon
Context triple: [Simone, hasVariant, 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. Meir
    Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
  • D. 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.
  • E. Natan
    Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1d28bc8190a2fa4b3e1e39863c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4234c148190b19d36903cb67651 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:51 p.m.