Triple
T10749902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahogany (film) |
E253545
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Brian Walker
Brian Walker is a fictional character from the 1975 romantic drama film "Mahogany," which stars Diana Ross as an aspiring fashion designer.
|
E883974
|
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: Brian Walker | Statement: [Mahogany (film), character, Brian Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Walker Context triple: [Mahogany (film), character, Brian Walker]
-
A.
Brian Walker
Brian Walker is an Australian ecologist and resilience scientist renowned for his pioneering work on social-ecological systems and sustainability.
-
B.
Matt Walker
Matt Walker is the son of former Wisconsin governor and Republican politician Scott Walker.
-
C.
Mark E. Walker
Mark E. Walker is a United States federal judge who serves as the Chief Judge of the U.S. District Court for the Northern District of Florida.
-
D.
Stephen Walker
Stephen Walker is an experienced FBI profiler and special agent who joins the Behavioral Analysis Unit in the television series "Criminal Minds."
-
E.
Bob Walker
Bob Walker was an early 20th-century film actor known for appearing in silent-era productions such as the 1915 drama "The Warrens of Virginia."
- 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: Brian Walker Triple: [Mahogany (film), character, Brian Walker]
Generated description
Brian Walker is a fictional character from the 1975 romantic drama film "Mahogany," which stars Diana Ross as an aspiring fashion designer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Walker Target entity description: Brian Walker is a fictional character from the 1975 romantic drama film "Mahogany," which stars Diana Ross as an aspiring fashion designer.
-
A.
Brian Walker
Brian Walker is an Australian ecologist and resilience scientist renowned for his pioneering work on social-ecological systems and sustainability.
-
B.
Matt Walker
Matt Walker is the son of former Wisconsin governor and Republican politician Scott Walker.
-
C.
Mark E. Walker
Mark E. Walker is a United States federal judge who serves as the Chief Judge of the U.S. District Court for the Northern District of Florida.
-
D.
Stephen Walker
Stephen Walker is an experienced FBI profiler and special agent who joins the Behavioral Analysis Unit in the television series "Criminal Minds."
-
E.
Bob Walker
Bob Walker was an early 20th-century film actor known for appearing in silent-era productions such as the 1915 drama "The Warrens of Virginia."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dbfe5f481908eed42328447b158 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23292f8c8190a52c94c03e7d476d |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:15 p.m.