Triple
T2673324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Disney Studios |
E56399
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Buena Vista |
E125929
|
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: Buena Vista | Statement: [Walt Disney Studios, brand, Buena Vista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buena Vista Context triple: [Walt Disney Studios, brand, Buena Vista]
-
A.
Buena Vista
chosen
Buena Vista is a brand name historically used by The Walt Disney Company for its international film distribution and related entertainment operations.
-
B.
Los Pinos
Los Pinos is the former official residence and offices of the President of Mexico, located in Mexico City’s Bosque de Chapultepec.
-
C.
Hollywood North
Hollywood North is a popular nickname for Vancouver, Canada, reflecting its status as a major center for film and television production.
-
D.
Bella Vista
Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
-
E.
Palisades
Palisades is a primarily residential neighborhood in Northwest Washington, D.C., known for its leafy streets, community feel, and proximity to the Potomac River.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b08b1c8190824342fc63e555d2 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa06170108190a6f4be82fa4ecd2a |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.