Triple
T9983792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New WKRP in Cincinnati |
E196515
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Les Nessman
Les Nessman is a bumbling, earnest news reporter character best known from the WKRP in Cincinnati television sitcom franchise.
|
E834246
|
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: Les Nessman | Statement: [The New WKRP in Cincinnati, featuresCharacter, Les Nessman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Nessman Context triple: [The New WKRP in Cincinnati, featuresCharacter, Les Nessman]
-
A.
Max Nanasy
Max Nanasy is a software engineer and writer known for contributions to programming tools and documentation, including work related to JSON5.
-
B.
Leslie
Leslie is a character featured in the work "Seascape."
-
C.
Leslie
Leslie is a Scottish noble family name historically associated with titles such as Lord Newark.
-
D.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
-
E.
Leslie
Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
- 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: Les Nessman Triple: [The New WKRP in Cincinnati, featuresCharacter, Les Nessman]
Generated description
Les Nessman is a bumbling, earnest news reporter character best known from the WKRP in Cincinnati television sitcom franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Nessman Target entity description: Les Nessman is a bumbling, earnest news reporter character best known from the WKRP in Cincinnati television sitcom franchise.
-
A.
Max Nanasy
Max Nanasy is a software engineer and writer known for contributions to programming tools and documentation, including work related to JSON5.
-
B.
Leslie
Leslie is a character featured in the work "Seascape."
-
C.
Leslie
Leslie is a Scottish noble family name historically associated with titles such as Lord Newark.
-
D.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
-
E.
Leslie
Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bdc0388190bbbd4bdc5ac3adec |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257f3c59481909b90896be0f3a870 |
completed | April 5, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25981db3c8190b7b4935cdcc1fe1c |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 8:49 p.m.