Triple
T6027940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornel Wilde |
E134226
|
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 Wilde, givenName, Cornel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornel Context triple: [Cornel Wilde, givenName, Cornel]
-
A.
Cornel
chosen
Cornel is the given name of Cornel West, a prominent American philosopher, political activist, and public intellectual.
-
B.
Legmeer
Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
-
C.
Aeltge Velthuys
Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
-
D.
Cornelis
Cornelis is a Dutch given name historically borne by notable figures such as statesman Cornelis de Witt.
-
E.
Ozinga
Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560e3c2c8190aea2619386fc5538 |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1137d6a648190a91795fb679a891c |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:07 p.m.