Triple
T18425632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beethoven (1992 film) |
E442131
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Alice Newton |
—
|
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: Alice Newton | Statement: [Beethoven (1992 film), featuresCharacter, Alice Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Newton Context triple: [Beethoven (1992 film), featuresCharacter, Alice Newton]
-
A.
Alice Newton
chosen
Alice Newton is a fictional character who serves as the central human protagonist in the family comedy film series featuring Beethoven the St. Bernard dog.
-
B.
June Newton
June Newton was an Australian-born photographer, actress, and director known for her own portrait work and for managing and documenting the career of her husband, fashion photographer Helmut Newton.
-
C.
Ann Newton
Ann Newton is a person known primarily for being a relative of Charlie Newton.
-
D.
Nora Lum
Nora Lum, known professionally as Awkwafina, is an American actress, comedian, rapper, and writer recognized for her roles in films like "Crazy Rich Asians" and "The Farewell."
-
E.
Alyce Mayo
Alyce Mayo is an American actress and former wife of acclaimed actor Peter Falk.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51b12606081908ea320fd8d5554c6 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 10:47 a.m.