Triple
T15275391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beethoven |
E365124
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Herman Varnick
Herman Varnick is the villainous veterinarian and primary antagonist in the family comedy film "Beethoven."
|
E1154481
|
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: Herman Varnick | Statement: [Beethoven, mainCharacter, Herman Varnick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herman Varnick Context triple: [Beethoven, mainCharacter, Herman Varnick]
-
A.
Milt Schaffer
Milt Schaffer was an American animator and story artist best known for his work on classic Disney cartoons in the mid-20th century.
-
B.
Bert Shefter
Bert Shefter was a film composer best known for his collaborations on mid-20th-century science fiction and horror movie scores.
-
C.
Harvey Cokeliss
Harvey Cokeliss is a British film director, producer, and screenwriter known for his work in genre cinema and television.
-
D.
David Bonderman
David Bonderman is an American billionaire businessman and private equity investor, best known as a founding partner of TPG Capital and as a prominent owner of major professional sports franchises.
-
E.
Walt Dohrn
Walt Dohrn is an American animator, voice actor, writer, and director best known for his creative leadership on DreamWorks Animation films such as the Trolls franchise.
- 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: Herman Varnick Triple: [Beethoven, mainCharacter, Herman Varnick]
Generated description
Herman Varnick is the villainous veterinarian and primary antagonist in the family comedy film "Beethoven."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herman Varnick Target entity description: Herman Varnick is the villainous veterinarian and primary antagonist in the family comedy film "Beethoven."
-
A.
Milt Schaffer
Milt Schaffer was an American animator and story artist best known for his work on classic Disney cartoons in the mid-20th century.
-
B.
Bert Shefter
Bert Shefter was a film composer best known for his collaborations on mid-20th-century science fiction and horror movie scores.
-
C.
Harvey Cokeliss
Harvey Cokeliss is a British film director, producer, and screenwriter known for his work in genre cinema and television.
-
D.
David Bonderman
David Bonderman is an American billionaire businessman and private equity investor, best known as a founding partner of TPG Capital and as a prominent owner of major professional sports franchises.
-
E.
Walt Dohrn
Walt Dohrn is an American animator, voice actor, writer, and director best known for his creative leadership on DreamWorks Animation films such as the Trolls franchise.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133b333c81908e38e9681bf81e40 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff142e99e081909d01cac0416f1bde |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14c61eb08190ba854b541eb1ce14 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:14 a.m.