Triple
T17343951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tott Doneeta |
E421133
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object | Thon |
—
|
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: Thon | Statement: [Tott Doneeta, trainedBy, Thon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thon Context triple: [Tott Doneeta, trainedBy, Thon]
-
A.
Thon
chosen
Thon is a wise and powerful Jedi Master from the Star Wars Expanded Universe, known for training notable Jedi such as Nomi Sunrider during the Old Republic era.
-
B.
Laks
Laks are an indigenous ethnic group of Dagestan in the North Caucasus, known for their Northeast Caucasian Lak language and distinct cultural traditions.
-
C.
Fisk
Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
-
D.
The Ton
The Ton is the traditional nickname of Scottish football club Greenock Morton F.C., reflecting its long-standing identity and fan culture.
-
E.
Pesce
Pesce is an Italian surname most notably associated with Gaetano Pesce, a renowned architect and designer known for his experimental, sculptural furniture and radical use of materials.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a27a350819086faf12e6bf9f0e2 |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:44 a.m.