Triple
T18421491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckwheat Zydeco |
E442033
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Buckwheat |
—
|
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: Buckwheat | Statement: [Buckwheat Zydeco, nickname, Buckwheat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buckwheat Context triple: [Buckwheat Zydeco, nickname, Buckwheat]
-
A.
Buckwheat
chosen
Buckwheat is a beloved child character from the classic "Our Gang" (later known as "The Little Rascals") comedy film series, known for his distinctive appearance and humorous personality.
-
B.
Hahnenklee
Hahnenklee is a village in the Harz Mountains of Germany, known as a popular tourist resort for hiking, winter sports, and its distinctive stave church.
-
C.
Avena sativa
Avena sativa is the cultivated oat species widely grown as a cereal crop for human consumption and livestock feed.
-
D.
Amaranto
Amaranto is the traditional maroon-colored nickname associated with Italian football club Reggina 1914 and its supporters.
-
E.
Flax
Flax is a neural network library for JAX that provides a flexible, modular framework for building and training machine learning models in Python.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2be6bc8190b2812f77ff4cc960 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.