Triple
T8625765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Mépris |
E204276
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Giorgia Moll
Giorgia Moll is an Italian actress best known internationally for her roles in European art-house cinema of the 1950s and 1960s.
|
E747572
|
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: Giorgia Moll | Statement: [Le Mépris, starredActor, Giorgia Moll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giorgia Moll Context triple: [Le Mépris, starredActor, Giorgia Moll]
-
A.
Giulia Schucht
Giulia Schucht was a Russian violinist of Italian descent best known as the longtime partner and wife of Marxist philosopher and political theorist Antonio Gramsci.
-
B.
Mia Zottoli
Mia Zottoli is an American actress and model known for her roles in late-1990s and early-2000s erotic thrillers and B-movies.
-
C.
Giada Colagrande
Giada Colagrande is an Italian film director, screenwriter, and actress known for her art-house films and frequent collaborations with her husband, actor Willem Dafoe.
-
D.
Giorgia Whigham
Giorgia Whigham is an American actress known for her roles in television series such as The Punisher, 13 Reasons Why, and Scream: Resurrection.
-
E.
Molly Qerim
Molly Qerim is an American sports television host best known for anchoring ESPN’s debate show "First Take."
- 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: Giorgia Moll Triple: [Le Mépris, starredActor, Giorgia Moll]
Generated description
Giorgia Moll is an Italian actress best known internationally for her roles in European art-house cinema of the 1950s and 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giorgia Moll Target entity description: Giorgia Moll is an Italian actress best known internationally for her roles in European art-house cinema of the 1950s and 1960s.
-
A.
Giulia Schucht
Giulia Schucht was a Russian violinist of Italian descent best known as the longtime partner and wife of Marxist philosopher and political theorist Antonio Gramsci.
-
B.
Mia Zottoli
Mia Zottoli is an American actress and model known for her roles in late-1990s and early-2000s erotic thrillers and B-movies.
-
C.
Giada Colagrande
Giada Colagrande is an Italian film director, screenwriter, and actress known for her art-house films and frequent collaborations with her husband, actor Willem Dafoe.
-
D.
Giorgia Whigham
Giorgia Whigham is an American actress known for her roles in television series such as The Punisher, 13 Reasons Why, and Scream: Resurrection.
-
E.
Molly Qerim
Molly Qerim is an American sports television host best known for anchoring ESPN’s debate show "First Take."
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc472a07908190a2368975459543f9 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbf03c688190a989f16675f6e8a6 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebdd3ae908190bc4108b766585cbc |
completed | April 2, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebf1825008190a97cd2df10f8e406 |
completed | April 2, 2026, 7:10 p.m. |
Created at: March 30, 2026, 6:26 p.m.