Triple
T11499469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Lake |
E272625
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Rothbart |
E235429
|
NE FINISHED |
How this triple was built (2 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: Rothbart | Statement: [Swan Lake, antagonist, Rothbart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rothbart Context triple: [Swan Lake, antagonist, Rothbart]
-
A.
Rothbart
chosen
Rothbart is the dark sorcerer and primary antagonist in the ballet "Swan Lake," responsible for cursing Odette and driving the central conflict of the story.
-
B.
Randulph
Randulph is a masculine given name, considered an older or variant spelling of Randolph.
-
C.
Klawz the Bear
Klawz the Bear is the costumed bear mascot who represents the University of Northern Colorado at athletic events and campus activities.
-
D.
Malvina
Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
-
E.
Griffin
The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:36 p.m.