Triple
T19850602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahen |
E476981
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Kahane |
—
|
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: Kahane | Statement: [Kahen, hasVariantSpelling, Kahane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahane Context triple: [Kahen, hasVariantSpelling, Kahane]
-
A.
Kahane
chosen
Kahane is a surname and variant of "Kagan" commonly associated with Jewish families and notable figures in religious, political, and cultural spheres.
-
B.
Avigdor Kahalani
Avigdor Kahalani is an Israeli politician and highly decorated former Israel Defense Forces officer, renowned for his leadership in the Yom Kippur War and later service in various ministerial roles.
-
C.
Nathan Kahane
Nathan Kahane is a film producer and studio executive known for backing numerous successful Hollywood comedies and genre films.
-
D.
Yitzhak Kahan
Yitzhak Kahan was an Israeli jurist who served as President of the Supreme Court of Israel and chaired the commission that investigated the Sabra and Shatila massacre.
-
E.
Ehud Shabtai
Ehud Shabtai is an Israeli software engineer and entrepreneur best known as the co-founder and chief architect of the GPS-based navigation app Waze.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65867b5408190bbd12ca567c4705f |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.