Triple
T18995628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Curse of the Werewolf |
E464800
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Michael Ripper |
—
|
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: Michael Ripper | Statement: [The Curse of the Werewolf, castMember, Michael Ripper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Ripper Context triple: [The Curse of the Werewolf, castMember, Michael Ripper]
-
A.
Michael Ripper
chosen
Michael Ripper was a British character actor best known for his prolific supporting roles in Hammer horror films from the 1950s to the 1970s.
-
B.
Edward Shearmur
Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
-
C.
Peter Jeffrey
Peter Jeffrey was a British character actor known for his extensive work in film, television, and theatre from the 1950s through the 1990s.
-
D.
Hugo McDodd
Hugo McDodd is one of the many children of Mayor Ned McDodd in the animated film "Horton Hears a Who!"
-
E.
Nicholas Crane
Nicholas Crane is a British geographer, author, and television presenter known for his work on geography-themed documentaries and popular science books.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6819f8c81908bbf0448baf7e34b |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.