Triple
T14083088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cara Kennedy-Cuomo |
E338915
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cara |
E880201
|
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: Cara | Statement: [Cara Kennedy-Cuomo, givenName, Cara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cara Context triple: [Cara Kennedy-Cuomo, givenName, Cara]
-
A.
Cara
chosen
Cara is a feminine given name used in various cultures, often associated with meanings like “beloved” or “friend.”
-
B.
Carla
Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
-
C.
Carly
Carly is a feminine given name most famously associated with American singer-songwriter Carly Simon.
-
D.
Caren
Caren is a feminine given name, typically considered a spelling variant of Karen.
-
E.
Carmyne
Carmyne is a given name, typically a variant spelling of Carmine, used for both males and females.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb676620481908ed2fa5687a21866 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.