Triple
T22574261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Next |
E544350
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Wendy Glenn |
—
|
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: Wendy Glenn | Statement: [You're Next, castMember, Wendy Glenn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Glenn Context triple: [You're Next, castMember, Wendy Glenn]
-
A.
Wendy Glenn
chosen
Wendy Glenn is a British actress known for her roles in film and television, including a prominent part in the thriller "Mercy" (2009).
-
B.
Wendy Kilbourne
Wendy Kilbourne is an American former television actress best known for her roles in 1980s and early 1990s TV dramas.
-
C.
Julie Glenn
Julie Glenn is an actress best known for her role in the French coming-of-age film "L'Effrontée."
-
D.
Wendy Rossmeyer
Wendy Rossmeyer is known as the wife of American television director and former actor Tim Van Patten.
-
E.
Wendy Alden
Wendy Alden is the central protagonist of the 2012 horror-thriller film "Shiver," a timid young woman forced to confront a sadistic serial killer who targets her.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.