Triple
T19338849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boy Who Cried Werewolf |
E483695
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Ronald Stein |
—
|
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: Ronald Stein | Statement: [The Boy Who Cried Werewolf, musicBy, Ronald Stein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald Stein Context triple: [The Boy Who Cried Werewolf, musicBy, Ronald Stein]
-
A.
Ronald Stein
chosen
Ronald Stein was an American composer best known for his prolific and atmospheric musical scores for low-budget science fiction and horror films of the 1950s and 1960s.
-
B.
Ralph Stein
Ralph Stein was an American cartoonist, illustrator, and author best known for his work on the comic strip "Popeye" and for his books on World War II and automobiles.
-
C.
Ronald Schneider
Ronald Schneider is a Dutch local politician who serves as the mayor of the municipality of Barendrecht in the Netherlands.
-
D.
Charles Weinstock
Charles Weinstock is a film producer best known for his work on the crime thriller movie "Fracture."
-
E.
Richard Riehle
Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185538d48190ae4fa3ac0b0ca182 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.