Triple
T16098335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHiPs |
E390544
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Larry Wilcox
Larry Wilcox is an American actor best known for playing Officer Jon Baker on the television series "CHiPs."
|
E1209703
|
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: Larry Wilcox | Statement: [CHiPs, portrayedBy, Larry Wilcox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Wilcox Context triple: [CHiPs, portrayedBy, Larry Wilcox]
-
A.
Stephen Wilcox
Stephen Wilcox was an American inventor and engineer best known as the co-founder of the Babcock & Wilcox Company, a pioneering firm in steam boiler and power generation technology.
-
B.
Guy Wilkerson
Guy Wilkerson was an American character actor best known for his roles in Westerns and B-movies during the mid-20th century.
-
C.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
D.
Larry DeWaay
Larry DeWaay is a film producer best known for his work on the action war film "The Dogs of War."
-
E.
Phil Reeves
Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
- 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: Larry Wilcox Triple: [CHiPs, portrayedBy, Larry Wilcox]
Generated description
Larry Wilcox is an American actor best known for playing Officer Jon Baker on the television series "CHiPs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larry Wilcox Target entity description: Larry Wilcox is an American actor best known for playing Officer Jon Baker on the television series "CHiPs."
-
A.
Stephen Wilcox
Stephen Wilcox was an American inventor and engineer best known as the co-founder of the Babcock & Wilcox Company, a pioneering firm in steam boiler and power generation technology.
-
B.
Guy Wilkerson
Guy Wilkerson was an American character actor best known for his roles in Westerns and B-movies during the mid-20th century.
-
C.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
D.
Larry DeWaay
Larry DeWaay is a film producer best known for his work on the action war film "The Dogs of War."
-
E.
Phil Reeves
Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003546d3e081908f1244b7f4fb1067 |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a0035cfc31c8190a8ab73bbc1aacaca |
completed | May 10, 2026, 7:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00369714a88190a5e4733b67fdacfb |
completed | May 10, 2026, 7:41 a.m. |
Created at: April 10, 2026, 4:59 a.m.