Triple
T12208153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwen Ifill |
E290887
|
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: [Gwen Ifill, givenName, Gwendolyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwendolyn Context triple: [Gwen Ifill, 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.
Gwendolyn Rickard
Gwendolyn Rickard was the longtime wife of American actor and dancer Ray Bolger, best known for his role as the Scarecrow in "The Wizard of Oz."
-
E.
Gwendolyn James
Gwendolyn James is the strict, overbearing PTA president who serves as the main antagonist in the comedy film "Bad Moms."
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7d8f5c8190a46e9caa2a920fa9 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9d2f0c81908352cd9f0167c6ab |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.