Triple
T18725408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Greist |
E457885
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Hope Burnford (voice) in Homeward Bound II: Lost in San Francisco |
—
|
NE NERFINISHED |
How this triple was built (3 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: Hope Burnford (voice) in Homeward Bound II: Lost in San Francisco | Statement: [Kim Greist, notableRole, Hope Burnford (voice) in Homeward Bound II: Lost in San Francisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hope Burnford (voice) in Homeward Bound II: Lost in San Francisco Context triple: [Kim Greist, notableRole, Hope Burnford (voice) in Homeward Bound II: Lost in San Francisco]
-
A.
Don Karnage (TaleSpin) (voice)
Don Karnage (TaleSpin) (voice) is the flamboyant, comically villainous air-pirate captain from Disney’s animated series TaleSpin, best known for his over-the-top accent and theatrical personality.
-
B.
Pat Carroll (original English voice)
Pat Carroll (original English voice) was an American actress and comedian best known for voicing the sea witch Ursula in Disney’s animated film "The Little Mermaid."
-
C.
Cat (CatDog) (voice)
Cat (CatDog) (voice) is the vocal portrayal of the neurotic, fast-talking feline half of the conjoined title characters in the animated television series "CatDog."
-
D.
Treebeard (voice)
Treebeard (voice) is the deep, resonant vocal portrayal of the ancient Ent leader in Peter Jackson’s The Lord of the Rings film adaptations.
-
E.
Christine Taylor (voice)
Christine Taylor is an American actress and comedian known for her roles in films like "The Brady Bunch Movie," "Zoolander," and "Dodgeball," as well as numerous television appearances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hope Burnford (voice) in Homeward Bound II: Lost in San Francisco Target entity description: Hope Burnford (voice) in Homeward Bound II: Lost in San Francisco is a character from the 1996 family adventure film, serving as one of the human owners of the lost pets whose journey drives the story.
-
A.
Don Karnage (TaleSpin) (voice)
Don Karnage (TaleSpin) (voice) is the flamboyant, comically villainous air-pirate captain from Disney’s animated series TaleSpin, best known for his over-the-top accent and theatrical personality.
-
B.
Pat Carroll (original English voice)
Pat Carroll (original English voice) was an American actress and comedian best known for voicing the sea witch Ursula in Disney’s animated film "The Little Mermaid."
-
C.
Cat (CatDog) (voice)
Cat (CatDog) (voice) is the vocal portrayal of the neurotic, fast-talking feline half of the conjoined title characters in the animated television series "CatDog."
-
D.
Treebeard (voice)
Treebeard (voice) is the deep, resonant vocal portrayal of the ancient Ent leader in Peter Jackson’s The Lord of the Rings film adaptations.
-
E.
Christine Taylor (voice)
Christine Taylor is an American actress and comedian known for her roles in films like "The Brady Bunch Movie," "Zoolander," and "Dodgeball," as well as numerous television appearances.
- F. None of above. chosen
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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d72d2c4819080b0d31860976b5e |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.