Triple
T7644691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goofy |
E173090
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Tony Pope
Tony Pope was an American voice actor known for his extensive work in animation and video games, including voicing iconic Disney characters.
|
E684328
|
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: Tony Pope | Statement: [Goofy, voiceActor, Tony Pope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Pope Context triple: [Goofy, voiceActor, Tony Pope]
-
A.
Dave Papworth
Dave Papworth is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
-
B.
Tony Gibbs
Tony Gibbs is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Gibbs.
-
C.
Tony Hatch
Tony Hatch is an English composer, songwriter, and producer best known for creating memorable television theme tunes and pop hits from the 1960s onward.
-
D.
Tony Britten
Tony Britten is a British composer best known for adapting and arranging the iconic UEFA Champions League anthem.
-
E.
Eddie Pope
Eddie Pope is a retired American soccer defender renowned for his key role with D.C. United and the U.S. national team during the 1990s and early 2000s.
- 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: Tony Pope Triple: [Goofy, voiceActor, Tony Pope]
Generated description
Tony Pope was an American voice actor known for his extensive work in animation and video games, including voicing iconic Disney characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Pope Target entity description: Tony Pope was an American voice actor known for his extensive work in animation and video games, including voicing iconic Disney characters.
-
A.
Dave Papworth
Dave Papworth is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
-
B.
Tony Gibbs
Tony Gibbs is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Gibbs.
-
C.
Tony Hatch
Tony Hatch is an English composer, songwriter, and producer best known for creating memorable television theme tunes and pop hits from the 1960s onward.
-
D.
Tony Britten
Tony Britten is a British composer best known for adapting and arranging the iconic UEFA Champions League anthem.
-
E.
Eddie Pope
Eddie Pope is a retired American soccer defender renowned for his key role with D.C. United and the U.S. national team during the 1990s and early 2000s.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4f48de88190b9cf40bfb1a26323 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b6cad09881908daae14565848a4f |
completed | March 29, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b71b84308190ba8f6b9dc668645a |
completed | March 29, 2026, 5:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.