Triple
T12913568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet P |
E308920
|
entity |
| Predicate | voiceActedBy |
P39669
|
FINISHED |
| Object |
Ethan Maher
Ethan Maher is a voice actor known for providing the voice of the character Sweet P in the animated series "Adventure Time."
|
E1010063
|
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: Ethan Maher | Statement: [Sweet P, voiceActedBy, Ethan Maher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Maher Context triple: [Sweet P, voiceActedBy, Ethan Maher]
-
A.
Troy Kennedy Martin
Troy Kennedy Martin was a British television and film screenwriter best known for creating the series "Z-Cars" and writing the original 1969 film "The Italian Job."
-
B.
Henry Bowers
Henry Bowers is a sadistic teenage bully and one of the primary human antagonists in the 2017 horror film adaptation of Stephen King’s "It."
-
C.
Coby Brown
Coby Brown is a composer and musician known for creating the musical score for the biographical drama film "The Man Who Knew Infinity."
-
D.
Tarus Mateen
Tarus Mateen is an American jazz bassist known for his versatile work in contemporary jazz and collaborations with leading modern improvisers.
-
E.
John Crawford
John Crawford was an American character actor known for his numerous supporting roles in film and television from the 1940s through the 1980s.
- 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: Ethan Maher Triple: [Sweet P, voiceActedBy, Ethan Maher]
Generated description
Ethan Maher is a voice actor known for providing the voice of the character Sweet P in the animated series "Adventure Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ethan Maher Target entity description: Ethan Maher is a voice actor known for providing the voice of the character Sweet P in the animated series "Adventure Time."
-
A.
Troy Kennedy Martin
Troy Kennedy Martin was a British television and film screenwriter best known for creating the series "Z-Cars" and writing the original 1969 film "The Italian Job."
-
B.
Henry Bowers
Henry Bowers is a sadistic teenage bully and one of the primary human antagonists in the 2017 horror film adaptation of Stephen King’s "It."
-
C.
Coby Brown
Coby Brown is a composer and musician known for creating the musical score for the biographical drama film "The Man Who Knew Infinity."
-
D.
Tarus Mateen
Tarus Mateen is an American jazz bassist known for his versatile work in contemporary jazz and collaborations with leading modern improvisers.
-
E.
John Crawford
John Crawford was an American character actor known for his numerous supporting roles in film and television from the 1940s through the 1980s.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a0d6508190bca9668e9e06abfe |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56ea03c819093a5b8657e27768e |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a68978008190a9d8695b09a8cb3a |
completed | May 3, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a8a31264819082c1ce67eaa529cc |
completed | May 3, 2026, 1:45 a.m. |
Created at: April 9, 2026, 5:41 p.m.