Triple
T6161854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Princess Diaries |
E137460
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Gina Wendkos
Gina Wendkos is an American screenwriter best known for adapting Meg Cabot’s novel into the hit teen film "The Princess Diaries" and writing several other popular romantic comedies.
|
E661919
|
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: Gina Wendkos | Statement: [The Princess Diaries, screenwriter, Gina Wendkos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gina Wendkos Context triple: [The Princess Diaries, screenwriter, Gina Wendkos]
-
A.
Gina Martin
Gina Martin is one of the children of legendary American singer, actor, and comedian Dean Martin.
-
B.
Gina Ruberti
Gina Ruberti was the wife of Bruno Mussolini, the son of Italian dictator Benito Mussolini.
-
C.
Loralee Czuchna
Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
-
D.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
-
E.
Terri DeMarco
Terri DeMarco is best known as the wife of American character actor Murray Hamilton, who appeared in films such as "Jaws" and "The Graduate."
- 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: Gina Wendkos Triple: [The Princess Diaries, screenwriter, Gina Wendkos]
Generated description
Gina Wendkos is an American screenwriter best known for adapting Meg Cabot’s novel into the hit teen film "The Princess Diaries" and writing several other popular romantic comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gina Wendkos Target entity description: Gina Wendkos is an American screenwriter best known for adapting Meg Cabot’s novel into the hit teen film "The Princess Diaries" and writing several other popular romantic comedies.
-
A.
Gina Martin
Gina Martin is one of the children of legendary American singer, actor, and comedian Dean Martin.
-
B.
Gina Ruberti
Gina Ruberti was the wife of Bruno Mussolini, the son of Italian dictator Benito Mussolini.
-
C.
Loralee Czuchna
Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
-
D.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
-
E.
Terri DeMarco
Terri DeMarco is best known as the wife of American character actor Murray Hamilton, who appeared in films such as "Jaws" and "The Graduate."
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8108dda308190bb3b7209efe132bb |
completed | March 28, 2026, 5:31 p.m. |
| NEDg | Description generation | batch_69c8122368b88190812f02f0c4bb3953 |
completed | March 28, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c812c1e9d08190b0e7f052d87011b9 |
completed | March 28, 2026, 5:41 p.m. |
Created at: March 22, 2026, 4:17 p.m.