Triple
T6546013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mila Kunis |
E151009
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Black Swan |
E48012
|
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: Black Swan | Statement: [Mila Kunis, knownFor, Black Swan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Swan Context triple: [Mila Kunis, knownFor, Black Swan]
-
A.
Black Swan
chosen
Black Swan is a 2010 psychological horror thriller film directed by Darren Aronofsky, following a troubled ballerina’s descent into madness as she prepares for a demanding lead role.
-
B.
Black Swan Pas de deux
Black Swan Pas de deux is the famous virtuosic duet from Tchaikovsky’s ballet Swan Lake, danced by Odile and Prince Siegfried in the third act.
-
C.
Black swan
The black swan is a large waterbird native to Australia, notable for its striking black plumage and red bill, and widely used as an emblem in Australian heraldry and symbolism.
-
D.
Moulin Rouge
Moulin Rouge is a famous Parisian cabaret known for its iconic red windmill, lavish shows, and role in popularizing the modern can-can dance.
-
E.
White Swan
The "White Swan" is the elegant, white Baroque-style Kaunas Town Hall in Lithuania, renowned for its slender tower and historic role as a civic landmark.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adee47cc8190830dbc1228b788ee |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d54b6d8c819083595375194aee12 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:50 p.m.