Triple
T15275389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beethoven |
E365124
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ted Newton
Ted Newton is the young boy from the "Beethoven" film series who becomes the lovable St. Bernard's primary human companion and often finds himself in comedic trouble because of the dog.
|
E1146700
|
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: Ted Newton | Statement: [Beethoven, mainCharacter, Ted Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Newton Context triple: [Beethoven, mainCharacter, Ted Newton]
-
A.
Steve Newton
Steve Newton is an engineer known for serving as the chief engineer of the vessel ECV-197.
-
B.
Nick Newton
Nick Newton is the father of acclaimed British actress Thandiwe Newton.
-
C.
David Newton
David Newton is a British football executive best known for serving as chairman of Boston United F.C.
-
D.
Tony Newton
Tony Newton was a British Conservative politician who held several senior government positions, including serving in Margaret Thatcher and John Major's administrations.
-
E.
Scott Newton
Scott Newton is an American local politician who has served as the mayor of Wilton Manors, Florida.
- 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: Ted Newton Triple: [Beethoven, mainCharacter, Ted Newton]
Generated description
Ted Newton is the young boy from the "Beethoven" film series who becomes the lovable St. Bernard's primary human companion and often finds himself in comedic trouble because of the dog.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Newton Target entity description: Ted Newton is the young boy from the "Beethoven" film series who becomes the lovable St. Bernard's primary human companion and often finds himself in comedic trouble because of the dog.
-
A.
Steve Newton
Steve Newton is an engineer known for serving as the chief engineer of the vessel ECV-197.
-
B.
Nick Newton
Nick Newton is the father of acclaimed British actress Thandiwe Newton.
-
C.
David Newton
David Newton is a British football executive best known for serving as chairman of Boston United F.C.
-
D.
Tony Newton
Tony Newton was a British Conservative politician who held several senior government positions, including serving in Margaret Thatcher and John Major's administrations.
-
E.
Scott Newton
Scott Newton is an American local politician who has served as the mayor of Wilton Manors, Florida.
- 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_69fee608217881909c9f7f7c753cf0a8 |
completed | May 9, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fee7a3e9a081908b6b2addc66c0c75 |
completed | May 9, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee7fa2fe48190b7ba9b3cda2b8f31 |
completed | May 9, 2026, 7:53 a.m. |
Created at: April 10, 2026, 3:14 a.m.