Triple
T1524893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennio Morricone |
E32312
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Malèna (score)
Malèna (score) is Ennio Morricone’s evocative film soundtrack for Giuseppe Tornatore’s 2000 Italian drama "Malèna," noted for its lyrical, melancholic themes.
|
E175146
|
NE FINISHED |
How this triple was built (4 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: Malèna (score) | Statement: [Ennio Morricone, notableWork, Malèna (score)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malèna (score) Context triple: [Ennio Morricone, notableWork, Malèna (score)]
-
A.
Marinella (film)
Marinella is a 1936 French musical film starring popular singer and actor Tino Rossi, known for its romantic storyline and songs.
-
B.
Menou
Menou is a French surname most notably associated with Jacques-François Menou, a general and administrator during the French Revolutionary and Napoleonic eras.
-
C.
MEL
MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
-
D.
La Musique
La Musique is a 1910 oil painting by Henri Matisse that depicts a group of figures engaged with music in a bold, simplified, and vividly colored Fauvist style.
-
E.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malèna (score) Triple: [Ennio Morricone, notableWork, Malèna (score)]
Generated description
Malèna (score) is Ennio Morricone’s evocative film soundtrack for Giuseppe Tornatore’s 2000 Italian drama "Malèna," noted for its lyrical, melancholic themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malèna (score) Target entity description: Malèna (score) is Ennio Morricone’s evocative film soundtrack for Giuseppe Tornatore’s 2000 Italian drama "Malèna," noted for its lyrical, melancholic themes.
-
A.
Marinella (film)
Marinella is a 1936 French musical film starring popular singer and actor Tino Rossi, known for its romantic storyline and songs.
-
B.
Menou
Menou is a French surname most notably associated with Jacques-François Menou, a general and administrator during the French Revolutionary and Napoleonic eras.
-
C.
MEL
MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
-
D.
La Musique
La Musique is a 1910 oil painting by Henri Matisse that depicts a group of figures engaged with music in a bold, simplified, and vividly colored Fauvist style.
-
E.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
- F. None of above. chosen
Provenance (5 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9080175588190bb3b1d4b17966f2f |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2951c1ec8190b7ac04cd820a2bfa |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad2d3e2b388190a73f2604d97bb4aa |
completed | March 8, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2df61a70819094148563f924a5c5 |
completed | March 8, 2026, 8:06 a.m. |
Created at: March 4, 2026, 7:26 p.m.