Triple

T15847020
Position Surface form Disambiguated ID Type / Status
Subject Rabbenu Tam E384239 entity
Predicate givenName P17 FINISHED
Object Yaakov E798771 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: Yaakov | Statement: [Rabbenu Tam, givenName, Yaakov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaakov
Context triple: [Rabbenu Tam, givenName, Yaakov]
  • A. Yacob
    Yacob is the surname of Halimah Yacob, a prominent Singaporean politician and the country’s first female president.
  • B. Yosef
    Yosef is a Hebrew given name of biblical origin, best known from the patriarch Joseph and widely used in Jewish communities.
  • C. יעקב chosen
    יעקב הוא אחד מאבות האומה המקראיים, דמות מרכזית בספר בראשית ואבי שנים-עשר שבטי ישראל.
  • D. ברכת יעקב
    ברכת יעקב היא סדרת הברכות והנבואות שיעקב אבינו העניק לבניו לפני מותו, המתוארת בסוף ספר בראשית.
  • E. Joseph son of Jacob
    Joseph son of Jacob is a central biblical figure known for his prophetic dreams, being sold into slavery by his brothers, and rising to become a powerful leader in Egypt who ultimately saves his family from famine.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca7c8f08190abe21cbb0c390f95 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93fbcb481908e7b7ddc46992f79 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.