Triple
T10493965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casualties of War |
E247486
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Ennio Morricone |
E32312
|
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: Ennio Morricone | Statement: [Casualties of War, musicBy, Ennio Morricone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ennio Morricone Context triple: [Casualties of War, musicBy, Ennio Morricone]
-
A.
Ennio Morricone
chosen
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."
-
B.
Nino Rota
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.
-
C.
Sergio Silvestri
Sergio Silvestri is an individual notable enough to be recognized as a prominent bearer of the surname Silvestri.
-
D.
Pino Donaggio
Pino Donaggio is an Italian composer best known for his atmospheric film scores, particularly in the horror and thriller genres.
-
E.
Franco Silvestri
Franco Silvestri is an individual notable enough to be recognized as a prominent bearer of the surname Silvestri.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b0d05a88190be036a6e4ab374a7 |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:24 p.m.