Triple
T20397780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Was a Teenage Werewolf |
E500253
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Paul Dunlap |
—
|
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: Paul Dunlap | Statement: [I Was a Teenage Werewolf, musicBy, Paul Dunlap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Dunlap Context triple: [I Was a Teenage Werewolf, musicBy, Paul Dunlap]
-
A.
Paul Dunlap
chosen
Paul Dunlap was an American film composer known for scoring numerous mid-20th-century movies, particularly in the crime, horror, and Western genres.
-
B.
Andrew Dunlap
Andrew Dunlap is a voice actor known for portraying Prince Charming in animated media.
-
C.
John Garley
John Garley was a British actor best known as the first husband of acclaimed English actress June Brown.
-
D.
William McCreery
William McCreery is a notable individual recognized for his historical significance and public prominence associated with the surname McCreery.
-
E.
Frank Wheatley
Frank Wheatley is a fictional character portrayed by Lucas Black, best known as the young boy who befriends the main character in the film "Sling Blade."
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798c2b28819092fab93f01218cde |
completed | April 20, 2026, 7:07 p.m. |
Created at: April 16, 2026, 11:29 a.m.