Triple
T5039519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Gun |
E113509
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Harold Faltermeyer |
E341021
|
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: Harold Faltermeyer | Statement: [Top Gun, musicBy, Harold Faltermeyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harold Faltermeyer Context triple: [Top Gun, musicBy, Harold Faltermeyer]
-
A.
Harold Faltermeyer
chosen
Harold Faltermeyer is a German composer, keyboardist, and producer best known for his iconic 1980s film scores and synth-driven themes such as "Axel F."
-
B.
Albert Weinert
Albert Weinert was a German-American sculptor and monument designer known for his public memorials in the United States.
-
C.
Bill Conti
Bill Conti is an American composer and conductor best known for his iconic film and television scores, including the music for the Rocky series and various popular TV shows.
-
D.
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.
-
E.
Henry Mancini
Henry Mancini was an American composer, conductor, and arranger best known for his memorable film and television scores, including iconic themes such as "Moon River" and "The Pink Panther."
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73dbf00c819094b67809dafdecc6 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea47c5f808190821d7f708003a07d |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.