Triple
T14235385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roadies |
E352862
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Wes
Wes is a central character in the reality TV series "Roadies," known for his prominent role in the show's narrative.
|
E1086906
|
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: Wes | Statement: [Roadies, hasMainCharacter, Wes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wes Context triple: [Roadies, hasMainCharacter, Wes]
-
A.
Wes
Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
-
B.
Wes
Wes is the commonly used nickname of legendary American jazz guitarist Wes Montgomery, renowned for his influential, melodic playing style and use of thumb-picked octaves.
-
C.
Wesley Jonathan
Wesley Jonathan is an American actor best known for his roles in early-2000s television sitcoms and films, including the roller-skating comedy-drama "Roll Bounce."
-
D.
Wesley LaRue
Wesley LaRue is an individual notable enough to be recognized as a namesake of the surname LaRue.
-
E.
Marcus Wesley
Marcus Wesley is an American actor best known for his supporting roles in films such as the 2006 fantasy adventure movie "The Fall."
- 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: Wes Triple: [Roadies, hasMainCharacter, Wes]
Generated description
Wes is a central character in the reality TV series "Roadies," known for his prominent role in the show's narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wes Target entity description: Wes is a central character in the reality TV series "Roadies," known for his prominent role in the show's narrative.
-
A.
Wes
Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
-
B.
Wes
Wes is the commonly used nickname of legendary American jazz guitarist Wes Montgomery, renowned for his influential, melodic playing style and use of thumb-picked octaves.
-
C.
Wesley Jonathan
Wesley Jonathan is an American actor best known for his roles in early-2000s television sitcoms and films, including the roller-skating comedy-drama "Roll Bounce."
-
D.
Wesley LaRue
Wesley LaRue is an individual notable enough to be recognized as a namesake of the surname LaRue.
-
E.
Marcus Wesley
Marcus Wesley is an American actor best known for his supporting roles in films such as the 2006 fantasy adventure movie "The Fall."
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281da708819082f5aefb7ad7b30b |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2982f75c8190916f89da8954b5cc |
completed | May 8, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2a1faf248190ad19acd5b8b77ca7 |
completed | May 8, 2026, 12:11 a.m. |
Created at: April 10, 2026, 1:07 a.m.