Triple

T17162376
Position Surface form Disambiguated ID Type / Status
Subject Yehoshua Bar-Hillel E416512 entity
Predicate givenName P17 FINISHED
Object Yehoshua E406976 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: Yehoshua | Statement: [Yehoshua Bar-Hillel, givenName, Yehoshua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yehoshua
Context triple: [Yehoshua Bar-Hillel, givenName, Yehoshua]
  • A. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • B. Joshua
    Joshua is a book of the Hebrew Bible and Christian Old Testament that narrates the Israelite conquest and settlement of Canaan under the leadership of Joshua.
  • C. Joshua
    Joshua is a ruthless and highly skilled mercenary who serves as the primary henchman antagonist in the action film "Lethal Weapon."
  • D. Joshua chosen
    Joshua is a central biblical leader who succeeded Moses, led the Israelites into the Promised Land, and is the namesake of the Book of Joshua in the Hebrew Bible.
  • E. Joshua
    Joshua is a masculine given name of Hebrew origin, commonly used in English-speaking countries.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91316108190b0d856d6fa5cd509 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483969a48190a90268c9560b8cd7 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.