Triple
T6573887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn Ezra |
E155508
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Radak |
E405331
|
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: Radak | Statement: [Ibn Ezra, influenced, Radak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radak Context triple: [Ibn Ezra, influenced, Radak]
-
A.
Radak
chosen
Radak, also known as Rabbi David Kimhi, was a prominent medieval Jewish biblical commentator, grammarian, and lexicographer whose works are central to traditional Jewish Bible study.
-
B.
Krosno
Krosno is a historic town in southeastern Poland known for its glassmaking industry and well-preserved old town.
-
C.
Bednja
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
D.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
E.
Lvovna
Lvovna is a Russian patronymic derived from the male given name Lev, traditionally used as the middle name for daughters of men named Lev.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae7134708190a0355519d117ab9c |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb9b0bfc8190b00904547a6178a1 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:53 p.m.