Triple
T13550293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caren Pistorius |
E323625
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Caren |
E168871
|
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: Caren | Statement: [Caren Pistorius, givenName, Caren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caren Context triple: [Caren Pistorius, givenName, Caren]
-
A.
Caren
chosen
Caren is a feminine given name, typically considered a spelling variant of Karen.
-
B.
Cara
Cara is a feminine given name used in various cultures, often associated with meanings like “beloved” or “friend.”
-
C.
Carolyn
Carolyn Bessette-Kennedy was an American publicist and style icon best known as the wife of John F. Kennedy Jr.
-
D.
Carolyn
Carolyn is the given name of Carolyn Cheeks Kilpatrick, an American politician who served as a U.S. Representative from Michigan.
-
E.
Carleen
Carleen is a small village in Cornwall, England, situated within the rural parish of Breage.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da4e19c819090d649b60a2dd410 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:46 p.m.