Triple
T6889431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Abyss |
E159007
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Alan Silvestri |
E18968
|
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: Alan Silvestri | Statement: [The Abyss, musicBy, Alan Silvestri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Silvestri Context triple: [The Abyss, musicBy, Alan Silvestri]
-
A.
Alan Silvestri
chosen
Alan Silvestri is an American composer best known for his prolific film scores, including iconic work on movies such as the Back to the Future trilogy and numerous Marvel Cinematic Universe films.
-
B.
Dave Silvestri
Dave Silvestri is a former professional baseball infielder who played in Major League Baseball during the 1990s.
-
C.
John Debney
John Debney is an American film composer known for scoring a wide range of movies and television shows, including major studio productions and acclaimed dramas.
-
D.
John Williams
John Williams was a British actor known for his character roles in mid-20th-century films and television, including classic courtroom dramas and comedies.
-
E.
John Williams
John Williams is an acclaimed American composer and conductor best known for his iconic film scores for franchises such as Star Wars, Indiana Jones, Harry Potter, and many others.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9117c84819093dad7b765337b63 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742e71bcc81908231a861be47b7db |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.