Triple

T16912794
Position Surface form Disambiguated ID Type / Status
Subject Natan Rapoport E410243 entity
Predicate givenName P17 FINISHED
Object Natan E355981 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: Natan | Statement: [Natan Rapoport, givenName, Natan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natan
Context triple: [Natan Rapoport, givenName, Natan]
  • A. Natan chosen
    Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
  • B. Yonatan
    Yonatan is a Hebrew given name, commonly associated with the biblical figure Jonathan and meaning "God has given."
  • C. Naftali
    Naftali is a Hebrew given name historically borne by notable Jewish figures, including poets and religious leaders.
  • D. Eitan
    Eitan is a Hebrew given name meaning "strong," "firm," or "enduring," commonly used in Israel and Jewish communities worldwide.
  • E. Nadav
    Nadav is the adolescent protagonist of the Israeli film "Nina’s Tragedies," through whose perspective the story’s emotional and familial turmoil unfolds.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d458902481908f79cd5a9f72f7fd completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:30 a.m.