Triple
T14235004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald's Game |
E352854
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Chiara Aurelia
Chiara Aurelia is an American actress known for her roles in psychological thrillers and teen dramas, including prominent performances in projects like "Gerald's Game" and the series "Cruel Summer."
|
E1086885
|
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: Chiara Aurelia | Statement: [Gerald's Game, castMember, Chiara Aurelia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiara Aurelia Context triple: [Gerald's Game, castMember, Chiara Aurelia]
-
A.
Chiara
Chiara is a feminine given name, common in Italian-speaking regions and often associated with the meaning "clear" or "bright."
-
B.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
C.
Alessandra
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
-
D.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
E.
Nicoletta
Nicoletta is an Italian given name commonly used for women, derived from the name Nicola.
- 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: Chiara Aurelia Triple: [Gerald's Game, castMember, Chiara Aurelia]
Generated description
Chiara Aurelia is an American actress known for her roles in psychological thrillers and teen dramas, including prominent performances in projects like "Gerald's Game" and the series "Cruel Summer."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chiara Aurelia Target entity description: Chiara Aurelia is an American actress known for her roles in psychological thrillers and teen dramas, including prominent performances in projects like "Gerald's Game" and the series "Cruel Summer."
-
A.
Chiara
Chiara is a feminine given name, common in Italian-speaking regions and often associated with the meaning "clear" or "bright."
-
B.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
C.
Alessandra
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
-
D.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
E.
Nicoletta
Nicoletta is an Italian given name commonly used for women, derived from the name Nicola.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281da708819082f5aefb7ad7b30b |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2982f75c8190916f89da8954b5cc |
completed | May 8, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2a1faf248190ad19acd5b8b77ca7 |
completed | May 8, 2026, 12:11 a.m. |
Created at: April 10, 2026, 1:07 a.m.