Triple
T18395720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destino |
E449862
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Dahlia |
—
|
NE NERFINISHED |
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: Dahlia | Statement: [Destino, featuresCharacter, Dahlia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dahlia Context triple: [Destino, featuresCharacter, Dahlia]
-
A.
Dahlia
chosen
Dahlia is a central female character in the surreal animated short film "Destino," a long-gestating collaboration between Walt Disney and Salvador Dalí.
-
B.
Dahlia
Dahlia was a champion Thoroughbred racehorse and influential broodmare known for her international success in major middle-distance races during the 1970s.
-
C.
Begonia
Begonia is a large genus of ornamental flowering plants known for their colorful, asymmetrical leaves and showy blooms, widely cultivated as houseplants and garden plants.
-
D.
Alstroemeria
Alstroemeria is a genus of ornamental flowering plants, commonly known as Peruvian lilies or lily of the Incas, prized for their colorful, long-lasting blooms in gardens and floral arrangements.
-
E.
Mirabilis
Mirabilis is an Israeli software company best known for creating the pioneering instant messaging service ICQ in the 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51846bb4c8190990f42a792a78ee0 |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.