Triple
T22381350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen & Slim |
E553281
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Devin K. L. Taylor
Devin K. L. Taylor is a film editor known for her work on the feature film "Queen & Slim."
|
E1534415
|
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: Devin K. L. Taylor | Statement: [Queen & Slim, editor, Devin K. L. Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devin K. L. Taylor Context triple: [Queen & Slim, editor, Devin K. L. Taylor]
-
A.
Eric M. Taylor
Eric M. Taylor was a notable figure significant enough in his community or field to have the Eric M. Taylor Center named in his honor.
-
B.
Mark L. Taylor
Mark L. Taylor is an American character actor known for his supporting roles in film and television, including appearances in movies like "Honey, I Shrunk the Kids" and "Arachnophobia."
-
C.
Galen T. Chu
Galen T. Chu is an American animator and film director known for his work at Blue Sky Studios, including co-directing the animated feature "Ice Age: Collision Course."
-
D.
Daniel E. Taylor
Daniel E. Taylor is a writer best known for co-writing the story for the crime thriller film "The Score."
-
E.
Michele B. Chan
Michele B. Chan is a former actress and media executive best known as the wife of billionaire physician and entrepreneur Patrick Soon-Shiong.
- 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: Devin K. L. Taylor Triple: [Queen & Slim, editor, Devin K. L. Taylor]
Generated description
Devin K. L. Taylor is a film editor known for her work on the feature film "Queen & Slim."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Devin K. L. Taylor Target entity description: Devin K. L. Taylor is a film editor known for her work on the feature film "Queen & Slim."
-
A.
Eric M. Taylor
Eric M. Taylor was a notable figure significant enough in his community or field to have the Eric M. Taylor Center named in his honor.
-
B.
Mark L. Taylor
Mark L. Taylor is an American character actor known for his supporting roles in film and television, including appearances in movies like "Honey, I Shrunk the Kids" and "Arachnophobia."
-
C.
Galen T. Chu
Galen T. Chu is an American animator and film director known for his work at Blue Sky Studios, including co-directing the animated feature "Ice Age: Collision Course."
-
D.
Daniel E. Taylor
Daniel E. Taylor is a writer best known for co-writing the story for the crime thriller film "The Score."
-
E.
Michele B. Chan
Michele B. Chan is a former actress and media executive best known as the wife of billionaire physician and entrepreneur Patrick Soon-Shiong.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582c05fc8190836ae008426177a5 |
completed | April 29, 2026, 1 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9b5fccc8190acc5ea778e19f7d5 |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aeabb52008190b62e3a83dbc3419b |
completed | May 18, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb6252248190a7cb0df06afd4db2 |
completed | May 18, 2026, 10:35 a.m. |
Created at: April 16, 2026, 8:45 p.m.