Triple
T10677156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Godfather |
E251648
|
entity |
| Predicate | hasComposer |
P1361
|
FINISHED |
| Object | Nino Rota |
E50629
|
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: Nino Rota | Statement: [The Godfather, hasComposer, Nino Rota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nino Rota Context triple: [The Godfather, hasComposer, Nino Rota]
-
A.
Nino Rota
chosen
Nino Rota was an Italian composer best known for his iconic film scores, including his collaborations with Federico Fellini and his music for The Godfather.
-
B.
Franco Silvestri
Franco Silvestri is an individual notable enough to be recognized as a prominent bearer of the surname Silvestri.
-
C.
Luis Bacalov
Luis Bacalov was an Argentine-Italian composer and pianist renowned for his film scores, particularly in Italian cinema and Spaghetti Westerns, and for winning an Academy Award for Best Original Dramatic Score.
-
D.
Ennio Morricone
Ennio Morricone was an Italian composer and conductor renowned for his iconic film scores, particularly for Spaghetti Westerns like "The Good, the Bad and the Ugly."
-
E.
Pino Donaggio
Pino Donaggio is an Italian composer best known for his atmospheric film scores, particularly in the horror and thriller genres.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb9563908190a69cf4bd2c24fd2f |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacf1a43c8190869f4a64f9d6a26c |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:09 p.m.