Triple
T12233720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neal Schon |
E291539
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schon |
E844299
|
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: Schon | Statement: [Neal Schon, familyName, Schon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schon Context triple: [Neal Schon, familyName, Schon]
-
A.
Onhan
Onhan is an Austronesian language spoken primarily in the province of Romblon in the Philippines.
-
B.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
-
C.
Schonungen
Schonungen is a municipality in the Lower Franconia region of Bavaria, Germany, situated near the city of Schweinfurt along the Main River.
-
D.
Schön
chosen
Schön is a surname of German origin borne by various individuals, including the American sculptor Nancy Schön.
-
E.
Scher
Scher is a surname of likely German or Eastern European origin borne by various individuals and families.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca5a06481908c7c6b715b9f6713 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aaf7b348190865a6a1b6de51753 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.