Triple
T9397020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shadow of the Vampire |
E226168
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Dan Jones |
E155532
|
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: Dan Jones | Statement: [Shadow of the Vampire, composer, Dan Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Jones Context triple: [Shadow of the Vampire, composer, Dan Jones]
-
A.
Dan Jones
chosen
Dan Jones is a British composer and sound designer known for his award-winning scores for film, television, and theatre.
-
B.
Richard Jones
Richard Jones was a 16th-century London printer and publisher known for issuing early editions of important Elizabethan works, including Christopher Marlowe’s "Tamburlaine."
-
C.
Richard Jones
Richard Jones was an English Baroque composer and violinist active in the early 18th century, known for his theatrical and instrumental music.
-
D.
Alexander Jones
Alexander Jones was a Catholic biblical scholar and priest best known for overseeing and editing the English translation of the Jerusalem Bible in the 1960s.
-
E.
Mark Jones
Mark Jones was an English footballer for Manchester United and England who died in the 1958 Munich air disaster.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1011aef64819085cbb7e04c2d87b2 |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:46 p.m.