Triple
T16577066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vampires of Venice |
E402738
|
entity |
| Predicate | guestCast |
P45889
|
FINISHED |
| Object | Alex Price |
E390248
|
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: Alex Price | Statement: [The Vampires of Venice, guestCast, Alex Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Price Context triple: [The Vampires of Venice, guestCast, Alex Price]
-
A.
Alex Price
chosen
Alex Price is a British actor known for his work in television, film, and theatre, including roles in series like "Being Human," "Father Brown," and "Penny Dreadful."
-
B.
Andrew Price
Andrew Price is a teenage character in J.K. Rowling’s novel *The Casual Vacancy*, whose troubled family life and personal struggles reflect the book’s themes of class, politics, and small-town tensions.
-
C.
Charlie Price
Charlie Price is the central protagonist of the musical and film "Kinky Boots," a struggling shoe factory owner who reinvents his business by partnering with a drag performer to create a line of high-heeled boots.
-
D.
Larry Price
Larry Price is an author known for his work on the animated series "Honey."
-
E.
Larry Price
Larry Price is a personal name that may refer to multiple individuals across different fields, such as politics, sports, or the arts.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595dd90881909933216bd12505e1 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eecbb6c81908abc5659333a4879 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.