Triple
T19850592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahen |
E476981
|
entity |
| Predicate | etymologicallyRelatedTo |
P5801
|
FINISHED |
| Object | Kohen |
—
|
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: Kohen | Statement: [Kahen, etymologicallyRelatedTo, Kohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohen Context triple: [Kahen, etymologicallyRelatedTo, Kohen]
-
A.
Kohen
chosen
Kohen is a variant spelling of "Cohen," referring to a member of the Jewish priestly class traditionally descended from Aaron.
-
B.
Hacham
Hacham is a traditional Sephardic Jewish honorific title denoting a wise and learned rabbi or sage.
-
C.
Dahn Ben Amotz
Dahn Ben Amotz was an Israeli writer, satirist, and radio broadcaster known for his influential role in shaping modern Israeli culture and humor.
-
D.
Sde Dov
Sde Dov is a former airport site in Tel Aviv, Israel, now known primarily for its redevelopment into residential and commercial urban areas.
-
E.
Rabbi
A Rabbi is a Jewish religious leader and teacher, traditionally responsible for interpreting Jewish law, guiding community practice, and providing spiritual and ethical instruction.
- 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.