Triple
T21251023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dracula: Dead and Loving It |
E523743
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Steven Weber |
—
|
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: Steven Weber | Statement: [Dracula: Dead and Loving It, starring, Steven Weber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Weber Context triple: [Dracula: Dead and Loving It, starring, Steven Weber]
-
A.
Steven Weber
chosen
Steven Weber is an American actor best known for his role on the sitcom "Wings" and numerous television and film appearances.
-
B.
Jeremy Weber
Jeremy Weber is a character in the 1987 horror film "A Return to Salem's Lot," which continues the vampire-themed story set in Stephen King's fictional town of Salem's Lot.
-
C.
Chris Weber
Chris Weber is an American guitarist best known as a founding member of the pre-Guns N' Roses band Hollywood Rose.
-
D.
Michael Weber
Michael Weber is a common personal name shared by numerous individuals across various professions, including academia, sports, and the arts.
-
E.
Sam Weber
Sam Weber is an acclaimed contemporary illustrator known for his atmospheric, painterly artwork on book covers and editorial projects.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359e90d881909b3153f1e7213c5c |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:56 p.m.