Triple

T9384229
Position Surface form Disambiguated ID Type / Status
Subject לֵאָה E225864 entity
Predicate motherOf P120 FINISHED
Object שמעון 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: שמעון | Statement: [לֵאָה, motherOf, שמעון]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: שמעון
Context triple: [לֵאָה, motherOf, שמעון]
  • A. Shmuel
    Shmuel is the Hebrew form of the biblical name Samuel, commonly used in Jewish religious and cultural contexts.
  • B. Shlomo
    Shlomo is the Hebrew name for King Solomon, the biblical monarch renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • C. 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.
  • 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. Yariv
    Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50c23e7881908112597a1771afa5 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100e4fff08190abb4865004462841 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:44 p.m.