Triple
T13831680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nashville |
E332412
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Dee Johnson
Dee Johnson is an American television writer and producer known for her work on series such as ER, Nashville, and The Good Wife.
|
E1064799
|
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: Dee Johnson | Statement: [Nashville, executiveProducer, Dee Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dee Johnson Context triple: [Nashville, executiveProducer, Dee Johnson]
-
A.
Dee Johnson
Dee Johnson is known as the wife of American politician and former New Mexico governor Gary Johnson.
-
B.
Tee Hee Johnson
Tee Hee Johnson is a henchman with a mechanical arm who serves as one of the main villains’ enforcers in the James Bond film "Live and Let Die."
-
C.
Dee Baxter
Dee Baxter is a supporting character on the sitcom "The Wayans Bros.," known for her tough, no-nonsense attitude and comedic interactions with the main characters.
-
D.
Georgann Johnson
Georgann Johnson was an American film and television actress known for her character roles in numerous movies and TV series from the 1950s through the 1990s.
-
E.
Enotris Johnson
Enotris Johnson was a songwriter best known for co-writing the rock and roll classic "Long Tall Sally," popularized by Little Richard.
- 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: Dee Johnson Triple: [Nashville, executiveProducer, Dee Johnson]
Generated description
Dee Johnson is an American television writer and producer known for her work on series such as ER, Nashville, and The Good Wife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dee Johnson Target entity description: Dee Johnson is an American television writer and producer known for her work on series such as ER, Nashville, and The Good Wife.
-
A.
Dee Johnson
Dee Johnson is known as the wife of American politician and former New Mexico governor Gary Johnson.
-
B.
Tee Hee Johnson
Tee Hee Johnson is a henchman with a mechanical arm who serves as one of the main villains’ enforcers in the James Bond film "Live and Let Die."
-
C.
Dee Baxter
Dee Baxter is a supporting character on the sitcom "The Wayans Bros.," known for her tough, no-nonsense attitude and comedic interactions with the main characters.
-
D.
Georgann Johnson
Georgann Johnson was an American film and television actress known for her character roles in numerous movies and TV series from the 1950s through the 1990s.
-
E.
Enotris Johnson
Enotris Johnson was a songwriter best known for co-writing the rock and roll classic "Long Tall Sally," popularized by Little Richard.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8efe0948190aaf972cccc2ebc90 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d928ac81908867a99740d6c3a0 |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba6b2c208190b01e3a5ae872b14f |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:13 p.m.