Triple
T7672887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Suite Life of Zack & Cody |
E173788
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Phill Lewis
Phill Lewis is an American actor and director best known for his comedic role as the uptight hotel manager Mr. Moseby on Disney Channel’s "The Suite Life" franchise.
|
E681764
|
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: Phill Lewis | Statement: [The Suite Life of Zack & Cody, stars, Phill Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phill Lewis Context triple: [The Suite Life of Zack & Cody, stars, Phill Lewis]
-
A.
Exene Cervenka
Exene Cervenka is an American singer, poet, and visual artist best known as the co-lead vocalist of the influential Los Angeles punk band X.
-
B.
Malcolm Cooke
Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
-
C.
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
-
D.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
-
E.
Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
- 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: Phill Lewis Triple: [The Suite Life of Zack & Cody, stars, Phill Lewis]
Generated description
Phill Lewis is an American actor and director best known for his comedic role as the uptight hotel manager Mr. Moseby on Disney Channel’s "The Suite Life" franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phill Lewis Target entity description: Phill Lewis is an American actor and director best known for his comedic role as the uptight hotel manager Mr. Moseby on Disney Channel’s "The Suite Life" franchise.
-
A.
Exene Cervenka
Exene Cervenka is an American singer, poet, and visual artist best known as the co-lead vocalist of the influential Los Angeles punk band X.
-
B.
Malcolm Cooke
Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
-
C.
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
-
D.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
-
E.
Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701de94208190a7627521211452dc |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22f74f481909498391bfaf23428 |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a34c93a081908ec3509c3abb3866 |
completed | March 29, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3b4e0a88190ad525c83bd03e09f |
completed | March 29, 2026, 3:59 a.m. |
Created at: March 27, 2026, 4 p.m.