Triple

T14356474
Position Surface form Disambiguated ID Type / Status
Subject Natan E355981 entity
Predicate transliterationFrom P62529 FINISHED
Object נתן E355981 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: נתן | Statement: [Natan, transliterationFrom, נתן]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: נתן
Context triple: [Natan, transliterationFrom, נתן]
  • A. Natan chosen
    Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
  • B. Nethanel
    Nethanel is a biblical figure mentioned as one of the sons in Jesse’s family line, associated with the ancestry of King David.
  • C. Naftali
    Naftali is a Hebrew given name historically borne by notable Jewish figures, including poets and religious leaders.
  • D. Noah Tannenbaum
    Noah Tannenbaum is a college student character in *The Sopranos* who briefly dates Meadow Soprano and is notable for his awkward interactions with her mob-connected family.
  • E. Yonatan
    Yonatan is a Hebrew given name, commonly associated with the biblical figure Jonathan and meaning "God has given."
  • 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: transliterationFrom
Context triple: [Natan, transliterationFrom, נתן]
  • A. transliterationLanguage
    Indicates the language whose writing system is used as the target when converting text from one script to another.
  • B. formerTransliteration
    Indicates that one transliteration was previously used for an entity but has since been replaced by a different transliteration.
  • C. transliterationTarget chosen
    Indicates that one entity is the target script or form into which another entity is transliterated.
  • D. transliterationType
    Indicates the specific system or method used to convert text from one writing system into another using corresponding characters.
  • E. transliterationName
    Indicates that one entity is the transliterated form of another entity’s name from one writing system into another.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f519bf881908615f4d47e0f77aa completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c473fa48190866ab946971e971c completed May 8, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69de2a9958e881909d03ac03f135163e completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:15 a.m.