Triple
T5547343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enchanted |
E145439
|
entity |
| Predicate | fictionalSetting |
P26457
|
FINISHED |
| Object |
Andalasia
Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
|
E533011
|
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: Andalasia | Statement: [Enchanted, fictionalSetting, Andalasia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andalasia Context triple: [Enchanted, fictionalSetting, Andalasia]
-
A.
Cyndia
Cyndia is an alternative given name or spelling derived from the name Cynthia.
-
B.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
C.
Terra Cimmeria
Terra Cimmeria is a heavily cratered, ancient highland region in Mars’s southern hemisphere, notable for its rugged terrain and geological history.
-
D.
Azania
Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
-
E.
Eastphalia
Eastphalia is a historical-cultural region in northern Germany, traditionally associated with the eastern part of the medieval Duchy of Saxony and characterized by its distinct Eastphalian dialects and heritage.
- 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: Andalasia Triple: [Enchanted, fictionalSetting, Andalasia]
Generated description
Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andalasia Target entity description: Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
-
A.
Cyndia
Cyndia is an alternative given name or spelling derived from the name Cynthia.
-
B.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
C.
Terra Cimmeria
Terra Cimmeria is a heavily cratered, ancient highland region in Mars’s southern hemisphere, notable for its rugged terrain and geological history.
-
D.
Azania
Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
-
E.
Eastphalia
Eastphalia is a historical-cultural region in northern Germany, traditionally associated with the eastern part of the medieval Duchy of Saxony and characterized by its distinct Eastphalian dialects and heritage.
- 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_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.