Triple
T11764755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cenere (1916 film) |
E279752
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Cenere
Cenere is a 1916 Italian silent drama film, notable for starring celebrated actress Eleonora Duse in one of her rare screen appearances.
|
E943951
|
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: Cenere | Statement: [Cenere (1916 film), title, Cenere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cenere Context triple: [Cenere (1916 film), title, Cenere]
-
A.
Roccia Nera
Roccia Nera is a minor summit in the Pennine Alps, forming part of the Breithorn massif on the border between Italy and Switzerland.
-
B.
Carbone
Carbone is a high-end Italian-American restaurant known for its classic New York red-sauce dishes and retro, mid-20th-century ambiance.
-
C.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
D.
Clusone
Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
-
E.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
- 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: Cenere Triple: [Cenere (1916 film), title, Cenere]
Generated description
Cenere is a 1916 Italian silent drama film, notable for starring celebrated actress Eleonora Duse in one of her rare screen appearances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cenere Target entity description: Cenere is a 1916 Italian silent drama film, notable for starring celebrated actress Eleonora Duse in one of her rare screen appearances.
-
A.
Roccia Nera
Roccia Nera is a minor summit in the Pennine Alps, forming part of the Breithorn massif on the border between Italy and Switzerland.
-
B.
Carbone
Carbone is a high-end Italian-American restaurant known for its classic New York red-sauce dishes and retro, mid-20th-century ambiance.
-
C.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
D.
Clusone
Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
-
E.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a525948081908af62cc5d4c7c482 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a570ca88190ba2f3791c0e0ba60 |
completed | April 28, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_69f043b3c51c8190a764433e86f1333e |
completed | April 28, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05b04d7248190b8ec4be4f2c3e388 |
completed | April 28, 2026, 7 a.m. |
Created at: April 8, 2026, 9:41 p.m.