Triple
T13694699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Men Want |
E328353
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Wendi McLendon-Covey |
E241902
|
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: Wendi McLendon-Covey | Statement: [What Men Want, starring, Wendi McLendon-Covey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendi McLendon-Covey Context triple: [What Men Want, starring, Wendi McLendon-Covey]
-
A.
Wendi McLendon-Covey
chosen
Wendi McLendon-Covey is an American actress and comedian best known for her roles in the sitcom "The Goldbergs" and the film "Bridesmaids."
-
B.
Kaya Faison
Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
-
C.
Mare Winningham
Mare Winningham is an American actress and singer-songwriter known for her acclaimed work in film, television, and theater, including multiple Emmy-winning performances.
-
D.
Emily VanCamp
Emily VanCamp is a Canadian actress best known for her leading role as Emily Thorne/Amanda Clarke on the television drama series "Revenge" and for playing Sharon Carter in the Marvel Cinematic Universe.
-
E.
Laurie Holden
Laurie Holden is an American actress best known for her roles in horror and thriller projects such as "The Walking Dead" and "The X-Files."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4f35888190b2c3df62bde1ce6e |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.