Triple

T3610357
Position Surface form Disambiguated ID Type / Status
Subject Moshe Kol E76470 entity
Predicate givenName P17 FINISHED
Object Moshe E11297 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: Moshe | Statement: [Moshe Kol, givenName, Moshe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moshe
Context triple: [Moshe Kol, givenName, Moshe]
  • A. Mose
    Mose is a minor character in Harriet Beecher Stowe’s novel "Uncle Tom’s Cabin," depicted as one of Uncle Tom’s children within the enslaved family central to the story.
  • B. Moses chosen
    Moses is a central prophet and leader in the Hebrew Bible, traditionally credited with leading the Israelites out of Egypt and receiving the Ten Commandments from God.
  • C. Aharon
    Aharon is a masculine given name of Hebrew origin, traditionally associated with the biblical figure Aaron and widely used in Jewish communities.
  • D. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • E. 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.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22b824c8190a85b36185d4957bb completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433102b1c8190bf2b872c227d041a completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:23 p.m.