Triple
T18821343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Expatriate (2012 film) |
E460269
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Corsan
Corsan is a film production company known for financing and producing international feature films.
|
E1344097
|
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: Corsan | Statement: [The Expatriate (2012 film), productionCompany, Corsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corsan Context triple: [The Expatriate (2012 film), productionCompany, Corsan]
-
A.
Scandriglia
Scandriglia is a small Italian municipality in the Lazio region, known for its historic hilltop setting and proximity to the Apennine mountains.
-
B.
Garvanza
Garvanza is a historic neighborhood in Northeast Los Angeles known for its early arts community, Craftsman architecture, and role in the development of the Arroyo culture movement.
-
C.
Murasson
Murasson is a small rural commune in southern France’s Aveyron department, characterized by its agricultural landscape and traditional village setting.
-
D.
Seccheto
Seccheto is a small coastal village on the island of Elba in Tuscany, Italy, known for its beaches and seaside tourism.
-
E.
Sparanero
Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
- 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: Corsan Triple: [The Expatriate (2012 film), productionCompany, Corsan]
Generated description
Corsan is a film production company known for financing and producing international feature films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corsan Target entity description: Corsan is a film production company known for financing and producing international feature films.
-
A.
Scandriglia
Scandriglia is a small Italian municipality in the Lazio region, known for its historic hilltop setting and proximity to the Apennine mountains.
-
B.
Garvanza
Garvanza is a historic neighborhood in Northeast Los Angeles known for its early arts community, Craftsman architecture, and role in the development of the Arroyo culture movement.
-
C.
Murasson
Murasson is a small rural commune in southern France’s Aveyron department, characterized by its agricultural landscape and traditional village setting.
-
D.
Seccheto
Seccheto is a small coastal village on the island of Elba in Tuscany, Italy, known for its beaches and seaside tourism.
-
E.
Sparanero
Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bcc75e0819089a03d82965d3721 |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a055d9a9da88190b974e8803ca8537f |
completed | May 14, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055e1a22308190bb7f2337fabc5bdf |
completed | May 14, 2026, 5:31 a.m. |
Created at: April 10, 2026, 11:55 a.m.