Triple
T15008795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin & Bash |
E377780
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Rachel King
Rachel King is a fictional attorney who appears as a recurring character in the legal comedy-drama television series "Franklin & Bash."
|
E1132199
|
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: Rachel King | Statement: [Franklin & Bash, character, Rachel King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel King Context triple: [Franklin & Bash, character, Rachel King]
-
A.
Nina King
Nina King is an American college athletics administrator who serves as the athletic director at Duke University, overseeing the university’s sports programs.
-
B.
Jessica King
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
-
C.
Alison King
Alison King is a British actress best known for her long-running role as Carla Connor in the television soap opera "Coronation Street."
-
D.
Tara King
Tara King is a fictional British secret agent and one of John Steed’s partners in the 1960s television series "The Avengers."
-
E.
Alyce King
Alyce King was an American singer best known as one of the King Sisters, a popular vocal group active in the mid-20th century.
- 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: Rachel King Triple: [Franklin & Bash, character, Rachel King]
Generated description
Rachel King is a fictional attorney who appears as a recurring character in the legal comedy-drama television series "Franklin & Bash."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel King Target entity description: Rachel King is a fictional attorney who appears as a recurring character in the legal comedy-drama television series "Franklin & Bash."
-
A.
Nina King
Nina King is an American college athletics administrator who serves as the athletic director at Duke University, overseeing the university’s sports programs.
-
B.
Jessica King
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
-
C.
Alison King
Alison King is a British actress best known for her long-running role as Carla Connor in the television soap opera "Coronation Street."
-
D.
Tara King
Tara King is a fictional British secret agent and one of John Steed’s partners in the 1960s television series "The Avengers."
-
E.
Alyce King
Alyce King was an American singer best known as one of the King Sisters, a popular vocal group active in the mid-20th century.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a52bb08190961e3f18d751fe2a |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98bf505c819089740180a763db34 |
completed | May 9, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9aab47888190812ff9732380e124 |
completed | May 9, 2026, 2:23 a.m. |
Created at: April 10, 2026, 2:55 a.m.