Triple
T8776400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vamp |
E208592
|
entity |
| Predicate | leadActress |
P6108
|
FINISHED |
| Object | Dedee Pfeiffer |
E769939
|
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: Dedee Pfeiffer | Statement: [Vamp, leadActress, Dedee Pfeiffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dedee Pfeiffer Context triple: [Vamp, leadActress, Dedee Pfeiffer]
-
A.
Dedee Pfeiffer
chosen
Dedee Pfeiffer is an American actress known for her roles in 1980s and 1990s film and television, including the cult horror-comedy "Vamp."
-
B.
Bijou Phillips
Bijou Phillips is an American actress, model, and singer known for her roles in independent films and her work as a fashion model in the late 1990s and 2000s.
-
C.
Joely Richardson
Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
-
D.
Gretchen Mol
Gretchen Mol is an American actress known for her film and television work, including prominent roles in projects like "The Notorious Bettie Page" and the HBO series "Boardwalk Empire."
-
E.
Tiffani Thiessen
Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f5086088190b317cf2aac7bee83 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0771920819081f191567c7e9fd2 |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:42 p.m.