Triple
T13952716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Wuhl |
E335570
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Union High School |
E335570
|
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: Union High School | Statement: [Robert Wuhl, educatedAt, Union High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union High School Context triple: [Robert Wuhl, educatedAt, Union High School]
-
A.
Union High School
Union High School is a public secondary school serving students in and around La Porte City, Iowa.
-
B.
Union High School
chosen
Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
-
C.
Union High School
Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
-
D.
Grant High School
Grant High School is a secondary school that serves students from the Grant Park area.
-
E.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb6e3d048190869bba1b4a7e255f |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 9, 2026, 10:17 p.m.