Triple
T23259969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy |
E581976
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Wendi |
—
|
NE NERFINISHED |
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: Wendi | Statement: [Wendy, hasVariant, Wendi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendi Context triple: [Wendy, hasVariant, Wendi]
-
A.
Wendi
chosen
Wendi is the first name of American actress and comedian Wendi McLendon-Covey, known for her roles in "Bridesmaids" and the TV series "The Goldbergs."
-
B.
Wendie
Wendie is a feminine given name most notably borne by American actress Wendie Malick.
-
C.
Wendy Gazelle
Wendy Gazelle is an American actress known for her work in film and television during the 1990s, including a role in the tech-thriller genre.
-
D.
Bellinda
Bellinda is a hosiery and underwear brand known for offering affordable everyday legwear and lingerie products in European markets.
-
E.
Vickie
Vickie is a band member and love interest of Robin Buckley in the television series "Stranger Things."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c7ec148190b01fd215a0c1daa1 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.