Triple
T10728116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornel West |
E253003
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cornel |
E253003
|
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: Cornel | Statement: [Cornel West, givenName, Cornel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornel Context triple: [Cornel West, givenName, Cornel]
-
A.
Cornel
chosen
Cornel is the given name of Cornel West, a prominent American philosopher, political activist, and public intellectual.
-
B.
Weeghman
Weeghman is the surname most notably associated with Charles Weeghman, an early 20th-century American restaurateur and baseball team owner.
-
C.
Legmeer
Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
-
D.
Clelles
Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
-
E.
Aeltge Velthuys
Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc92a18819089cc67afee1c9b96 |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2297f7a48190b194f7e611d0682b |
completed | April 14, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:14 p.m.