Triple
T10545541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and the Beast (1991 film) |
E248806
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Paige O'Hara
Paige O'Hara is an American actress and singer best known for voicing Belle in Disney's animated classic "Beauty and the Beast."
|
E882978
|
NE FINISHED |
How this triple was built (4 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: Paige O'Hara | Statement: [Beauty and the Beast (1991 film), voiceActor, Paige O'Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paige O'Hara Context triple: [Beauty and the Beast (1991 film), voiceActor, Paige O'Hara]
-
A.
Barbara Patrick
Barbara Patrick is an American actress known for her roles in film and television and for being married to actor Robert Patrick.
-
B.
Heather MacLachlan
Heather MacLachlan is best known as the wife of former U.S. Senator and diplomat George J. Mitchell.
-
C.
Kathy O'Hare
Kathy O'Hare is known primarily as the daughter of famed World War II flying ace and Medal of Honor recipient Edward "Butch" O'Hare.
-
D.
Colleen Sharp
Colleen Sharp is a film editor best known for her work on Terrence Malick’s acclaimed drama "Days of Heaven."
-
E.
Lynn Garland
Lynn Garland is the wife of U.S. Attorney General and former Supreme Court nominee Merrick Garland and is known for her work in public service and community engagement.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paige O'Hara Triple: [Beauty and the Beast (1991 film), voiceActor, Paige O'Hara]
Generated description
Paige O'Hara is an American actress and singer best known for voicing Belle in Disney's animated classic "Beauty and the Beast."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paige O'Hara Target entity description: Paige O'Hara is an American actress and singer best known for voicing Belle in Disney's animated classic "Beauty and the Beast."
-
A.
Barbara Patrick
Barbara Patrick is an American actress known for her roles in film and television and for being married to actor Robert Patrick.
-
B.
Heather MacLachlan
Heather MacLachlan is best known as the wife of former U.S. Senator and diplomat George J. Mitchell.
-
C.
Kathy O'Hare
Kathy O'Hare is known primarily as the daughter of famed World War II flying ace and Medal of Honor recipient Edward "Butch" O'Hare.
-
D.
Colleen Sharp
Colleen Sharp is a film editor best known for her work on Terrence Malick’s acclaimed drama "Days of Heaven."
-
E.
Lynn Garland
Lynn Garland is the wife of U.S. Attorney General and former Supreme Court nominee Merrick Garland and is known for her work in public service and community engagement.
- F. None of above. chosen
Provenance (5 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5191345ac81909bc404ba9574ce4c |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22087d008190a9db6080b8c10f5d |
completed | April 14, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69de25d25474819081402b75ef7492f6 |
completed | April 14, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2808244c8190bdb2d4d49f30e0d7 |
completed | April 14, 2026, 11:42 a.m. |
Created at: April 6, 2026, 12:33 p.m.