Triple
T7494564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and the Beast (2017 film) |
E177090
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Plumette
Plumette is the feather-duster-turned-enchanted-bird maid and love interest of Lumière in Disney’s 2017 live-action adaptation of Beauty and the Beast.
|
E668466
|
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: Plumette | Statement: [Beauty and the Beast (2017 film), character, Plumette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plumette Context triple: [Beauty and the Beast (2017 film), character, Plumette]
-
A.
Plumetot
Plumetot is a small commune in the Calvados department of the Normandy region in northwestern France.
-
B.
Feuillant
The Feuillants were a moderate monarchist political faction during the French Revolution that supported a constitutional monarchy and opposed the more radical Jacobins.
-
C.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
-
D.
Fliquet
Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
-
E.
Pajari
Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
- 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: Plumette Triple: [Beauty and the Beast (2017 film), character, Plumette]
Generated description
Plumette is the feather-duster-turned-enchanted-bird maid and love interest of Lumière in Disney’s 2017 live-action adaptation of Beauty and the Beast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plumette Target entity description: Plumette is the feather-duster-turned-enchanted-bird maid and love interest of Lumière in Disney’s 2017 live-action adaptation of Beauty and the Beast.
-
A.
Plumetot
Plumetot is a small commune in the Calvados department of the Normandy region in northwestern France.
-
B.
Feuillant
The Feuillants were a moderate monarchist political faction during the French Revolution that supported a constitutional monarchy and opposed the more radical Jacobins.
-
C.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
-
D.
Fliquet
Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
-
E.
Pajari
Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57b5b4c8190ab839e6a98ee86ed |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c819f00819087fef27e4f4fdc1c |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83ddda5688190be1ec69f23671f60 |
completed | March 28, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e42b0048190b1abd8ae99c97e38 |
completed | March 28, 2026, 8:46 p.m. |
Created at: March 27, 2026, 3:43 p.m.