Triple
T5547339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enchanted |
E145439
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Queen Narissa
Queen Narissa is the primary villain of Disney’s live-action/animated film "Enchanted," a wicked sorceress and stepmother who schemes to retain her power over the kingdom of Andalasia.
|
E86510
|
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: Queen Narissa | Statement: [Enchanted, character, Queen Narissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Narissa Context triple: [Enchanted, character, Queen Narissa]
-
A.
Queen Ramonda
Queen Ramonda is a regal Wakandan matriarch and mother of T’Challa in Marvel’s Black Panther franchise.
-
B.
Queen Aoleon Joffer
Queen Aoleon Joffer is a fictional royal consort of the Zamundan king in the comedy film "Coming to America," known for her regal demeanor and supportive role in the story.
-
C.
Tamora
Tamora is the vengeful Queen of the Goths and a central antagonist in William Shakespeare’s tragedy "Titus Andronicus."
-
D.
Queen Bavmorda
Queen Bavmorda is the ruthless and power-hungry sorceress-queen who serves as the primary villain in the fantasy film "Willow."
-
E.
Queen Red
Queen Red was one of the designated assault sub-sectors of Sword Beach used by Allied forces during the D-Day landings in 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: Queen Narissa Triple: [Enchanted, character, Queen Narissa]
Generated description
Queen Narissa is the primary villain of Disney’s live-action/animated film "Enchanted," a wicked sorceress and stepmother who schemes to retain her power over the kingdom of Andalasia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen Narissa Target entity description: Queen Narissa is the primary villain of Disney’s live-action/animated film "Enchanted," a wicked sorceress and stepmother who schemes to retain her power over the kingdom of Andalasia.
-
A.
Queen Ramonda
Queen Ramonda is a regal Wakandan matriarch and mother of T’Challa in Marvel’s Black Panther franchise.
-
B.
Queen Aoleon Joffer
Queen Aoleon Joffer is a fictional royal consort of the Zamundan king in the comedy film "Coming to America," known for her regal demeanor and supportive role in the story.
-
C.
Tamora
Tamora is the vengeful Queen of the Goths and a central antagonist in William Shakespeare’s tragedy "Titus Andronicus."
-
D.
Queen Bavmorda
chosen
Queen Bavmorda is the ruthless and power-hungry sorceress-queen who serves as the primary villain in the fantasy film "Willow."
-
E.
Queen Red
Queen Red was one of the designated assault sub-sectors of Sword Beach used by Allied forces during the D-Day landings in World War II.
- F. None of above.
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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe0244c8190aeb995f79f22a039 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0282ace308190a714685579f2a789 |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c0372e86c08190bf586256cab23d22 |
completed | March 22, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c038e5dccc8190a5e1ec45712c00a3 |
completed | March 22, 2026, 6:45 p.m. |
Created at: March 22, 2026, 3:35 p.m.