Triple
T18504873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilles Marini |
E452173
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Marini
Marini is a French-American actor and former model best known for his roles in "Sex and the City: The Movie" and the TV series "Brothers & Sisters."
|
E1327910
|
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: Marini | Statement: [Gilles Marini, familyName, Marini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marini Context triple: [Gilles Marini, familyName, Marini]
-
A.
Mola
Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
-
B.
Mola
Mola is a genus of large ocean sunfishes known for their distinctive flattened bodies and immense size, including the common ocean sunfish Mola mola.
-
C.
Marino
Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
-
D.
Marino
Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
E.
Maiori
Maiori is a seaside town on Italy’s Amalfi Coast known for its long sandy beach and historic coastal architecture.
- 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: Marini Triple: [Gilles Marini, familyName, Marini]
Generated description
Marini is a French-American actor and former model best known for his roles in "Sex and the City: The Movie" and the TV series "Brothers & Sisters."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marini Target entity description: Marini is a French-American actor and former model best known for his roles in "Sex and the City: The Movie" and the TV series "Brothers & Sisters."
-
A.
Mola
Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
-
B.
Mola
Mola is a genus of large ocean sunfishes known for their distinctive flattened bodies and immense size, including the common ocean sunfish Mola mola.
-
C.
Marino
Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
-
D.
Marino
Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
E.
Maiori
Maiori is a seaside town on Italy’s Amalfi Coast known for its long sandy beach and historic coastal architecture.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341063c81908361b0eb78794145 |
completed | April 19, 2026, 7:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0471456b348190a6bf62f1614f3d07 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0472fee3a88190aa0cb5a8ff0af66a |
completed | May 13, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0473fa3c5c8190aad12a5d952a796a |
completed | May 13, 2026, 12:52 p.m. |
Created at: April 10, 2026, 11:36 a.m.