Triple
T6162056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella Enchanted |
E137464
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Prince Charmont
Prince Charmont is the charming and kind-hearted royal love interest of Ella in the fantasy novel and film "Ella Enchanted."
|
E574342
|
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: Prince Charmont | Statement: [Ella Enchanted, character, Prince Charmont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Charmont Context triple: [Ella Enchanted, character, Prince Charmont]
-
A.
Chondestes
Chondestes is a small genus of New World sparrows best known for the lark sparrow, a distinctive songbird found across much of North America.
-
B.
Chevalier de Paris
Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
-
C.
Monsieur Beaucaire
Monsieur Beaucaire is a romantic historical novella by Booth Tarkington about a disguised French nobleman navigating love and honor in 18th-century English high society.
-
D.
Pierre Beauchamp
Pierre Beauchamp was a 17th-century French choreographer and dancing master credited with codifying the five basic positions of the feet in classical ballet.
-
E.
Hubert de La Bouillerie
Hubert de La Bouillerie is a film editor best known for his work on major Hollywood productions, including the blockbuster science-fiction film "Independence Day."
- 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: Prince Charmont Triple: [Ella Enchanted, character, Prince Charmont]
Generated description
Prince Charmont is the charming and kind-hearted royal love interest of Ella in the fantasy novel and film "Ella Enchanted."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prince Charmont Target entity description: Prince Charmont is the charming and kind-hearted royal love interest of Ella in the fantasy novel and film "Ella Enchanted."
-
A.
Chondestes
Chondestes is a small genus of New World sparrows best known for the lark sparrow, a distinctive songbird found across much of North America.
-
B.
Chevalier de Paris
Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
-
C.
Monsieur Beaucaire
Monsieur Beaucaire is a romantic historical novella by Booth Tarkington about a disguised French nobleman navigating love and honor in 18th-century English high society.
-
D.
Pierre Beauchamp
Pierre Beauchamp was a 17th-century French choreographer and dancing master credited with codifying the five basic positions of the feet in classical ballet.
-
E.
Hubert de La Bouillerie
Hubert de La Bouillerie is a film editor best known for his work on major Hollywood productions, including the blockbuster science-fiction film "Independence Day."
- 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_69c14199f024819089af02b1c0eebfad |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c1467ef4d48190b714823935318c0a |
completed | March 23, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c146f59d9881908fdc6c0137f0ead7 |
completed | March 23, 2026, 1:58 p.m. |
Created at: March 22, 2026, 4:17 p.m.