Triple
T19136607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yehoshua Kenaz |
E468450
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kenaz |
—
|
NE NERFINISHED |
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: Kenaz | Statement: [Yehoshua Kenaz, familyName, Kenaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenaz Context triple: [Yehoshua Kenaz, familyName, Kenaz]
-
A.
Kenaz
chosen
Kenaz is a biblical family name associated with a clan in the tribe of Judah, notably linked to the judge Othniel.
-
B.
Anazah
Anazah is a tribal Arab community historically associated with the Anizah confederation, known for its Bedouin heritage across the Arabian Peninsula and surrounding regions.
-
C.
Kurnub
Kurnub is an alternative name for Mamshit, an ancient Nabatean caravan town and archaeological site in the Negev Desert of Israel.
-
D.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
-
E.
Zayigna
Zayigna is an alternative name for the Zay language, an Afroasiatic language spoken by the Zay people of Ethiopia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3edd1c48190b86bef530ebbd092 |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.