Triple
T13594918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnie Gekko |
E324791
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Winnie |
E858566
|
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: Winnie | Statement: [Winnie Gekko, givenName, Winnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winnie Context triple: [Winnie Gekko, givenName, Winnie]
-
A.
Winnie
Winnie is a central character from the classic American sitcom "Happy Days," known for her role in the show's nostalgic portrayal of 1950s Midwestern life.
-
B.
Winnie
chosen
Winnie is a feminine given name, often used as a diminutive of names like Winifred or Gwendolyn.
-
C.
Winnie Cooper
Winnie Cooper is a central coming-of-age character in the nostalgic TV series "The Wonder Years," known as Kevin Arnold’s childhood friend and love interest.
-
D.
Winnie the Bish
Winnie the Bish is the playful nickname of Winston Bishop, a quirky and lovable character from the TV sitcom "New Girl."
-
E.
Winnie H. Pallette
Winnie H. Pallette was the wife of American character actor Eugene Pallette, known for his roles in classic Hollywood films of the 1930s and 1940s.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc762a08190b5d29cef9923da84 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.