Triple
T18662383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fox and the Hound |
E456232
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Sandy Duncan |
—
|
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: Sandy Duncan | Statement: [The Fox and the Hound, voiceActor, Sandy Duncan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy Duncan Context triple: [The Fox and the Hound, voiceActor, Sandy Duncan]
-
A.
Sandy Duncan
chosen
Sandy Duncan is an American actress, singer, and dancer best known for her work on television, Broadway, and in family-oriented entertainment.
-
B.
Sandy Rogers
Sandy Rogers is one of the adopted children of American singer, actress, and cowgirl icon Dale Evans and her husband Roy Rogers.
-
C.
Sandy Rodgers
Sandy Rodgers is the young African American protagonist of Langston Hughes's novel "Not Without Laughter," whose coming-of-age story explores race, family, and identity in early 20th-century Kansas.
-
D.
Ronnie Dove
Ronnie Dove is an American pop and country singer best known for his string of romantic hits in the 1960s.
-
E.
Lala Ward
Lala Ward is a British actress best known for playing the Time Lady Romana in the long-running science fiction television series Doctor Who.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508b35ec819085c1c4c2c98d6672 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.