Triple
T12166786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole Shorenstein Hays |
E289852
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Carole |
E209179
|
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: Carole | Statement: [Carole Shorenstein Hays, givenName, Carole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carole Context triple: [Carole Shorenstein Hays, givenName, Carole]
-
A.
Carole
chosen
Carole is a feminine given name of French origin, commonly used in English-speaking countries.
-
B.
Charlene
Charlene is a feminine given name derived from the male name Charles.
-
C.
Carleen
Carleen is a small village in Cornwall, England, situated within the rural parish of Breage.
-
D.
Carla
Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
-
E.
Carolyn
Carolyn Bessette-Kennedy was an American publicist and style icon best known as the wife of John F. Kennedy Jr.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d85c088190a74fb7590877659b |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a2716081909620a9d11cfcc2d8 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.