Triple
T17779029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwendolyn Knight |
E443847
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gwendolyn |
E355151
|
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: Gwendolyn | Statement: [Gwendolyn Knight, givenName, Gwendolyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwendolyn Context triple: [Gwendolyn Knight, givenName, Gwendolyn]
-
A.
Gwendolyn
chosen
Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
-
B.
Gwendoline
Gwendoline is a feminine given name most prominently associated with British actress Gwendoline Christie.
-
C.
Winifred
Winifred is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
-
D.
Winifred
Winifred is a feminine given name of English origin, traditionally meaning "blessed peacemaker" or "holy, reconciled."
-
E.
Gwen Grayson
Gwen Grayson is the primary antagonist in the Disney superhero film "Sky High," secretly a supervillain posing as a popular high school student.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871f63708190b298ed96896ad0ee |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff56f1308190983c201c69480514 |
completed | May 12, 2026, 10:22 a.m. |
Created at: April 10, 2026, 10:12 a.m.