Triple
T16101090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric R. Kandel |
E390622
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kandel |
E93741
|
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: Kandel | Statement: [Eric R. Kandel, familyName, Kandel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandel Context triple: [Eric R. Kandel, familyName, Kandel]
-
A.
Kandel
chosen
Kandel is a prominent mountain in Germany’s Black Forest region, known for its scenic views and outdoor recreation opportunities.
-
B.
Kahana
Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi communities.
-
C.
Dairen
Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
-
D.
Sylvania
Sylvania is a fictional European country best known as the rival nation in the Marx Brothers film "Duck Soup."
-
E.
Sylvania
Sylvania is a suburban city in northwest Ohio, known for its residential communities, parks, and proximity to Toledo.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff68686481909517eed4266729ca |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9d6140819087f9b3dc549c4aec |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.