Triple
T7644690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goofy |
E173090
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Will Ryan
Will Ryan was an American voice actor best known for his work in classic Disney productions and numerous animated films and television series.
|
E677961
|
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: Will Ryan | Statement: [Goofy, voiceActor, Will Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Ryan Context triple: [Goofy, voiceActor, Will Ryan]
-
A.
Reid
Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
-
B.
William Ryan
William Ryan is a film producer best known for his work on the 1994 remake of "Miracle on 34th Street."
-
C.
William Ryan
William Ryan is a marine geologist and oceanographer known for his influential work on seafloor spreading and the geological history of the Black Sea, including the "Noah's Flood" hypothesis.
-
D.
Paul Ryan
Paul Ryan is an American Republican politician who served as the 54th Speaker of the U.S. House of Representatives and was the 2012 Republican nominee for vice president.
-
E.
Connell
Connell is a surname of Irish origin borne by various notable individuals across literature, sports, and public life.
- 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: Will Ryan Triple: [Goofy, voiceActor, Will Ryan]
Generated description
Will Ryan was an American voice actor best known for his work in classic Disney productions and numerous animated films and television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Ryan Target entity description: Will Ryan was an American voice actor best known for his work in classic Disney productions and numerous animated films and television series.
-
A.
Reid
Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
-
B.
William Ryan
William Ryan is a film producer best known for his work on the 1994 remake of "Miracle on 34th Street."
-
C.
William Ryan
William Ryan is a marine geologist and oceanographer known for his influential work on seafloor spreading and the geological history of the Black Sea, including the "Noah's Flood" hypothesis.
-
D.
Paul Ryan
Paul Ryan is an American Republican politician who served as the 54th Speaker of the U.S. House of Representatives and was the 2012 Republican nominee for vice president.
-
E.
Connell
Connell is a surname of Irish origin borne by various notable individuals across literature, sports, and public life.
- 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_69c870d510f08190ad7706f582e8c1a0 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c87328c2cc81908b9fb89f5fee062e |
completed | March 29, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c873846a188190a3a1cc56ac247fb0 |
completed | March 29, 2026, 12:34 a.m. |
Created at: March 27, 2026, 3:58 p.m.