Triple
T13786898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urban Cowboy |
E331282
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Brooke Alderson
Brooke Alderson is an American actress best known for her supporting role in the 1980 film "Urban Cowboy."
|
E1064214
|
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: Brooke Alderson | Statement: [Urban Cowboy, starring, Brooke Alderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooke Alderson Context triple: [Urban Cowboy, starring, Brooke Alderson]
-
A.
Brooke Nelson
Brooke Nelson is the child of American businessman and former U.S. Senator Ben Nelson.
-
B.
Brooke Bowman
Brooke Bowman is an American television executive known for her work in programming and development at major cable networks such as FX and Fox.
-
C.
Brooke Mueller
Brooke Mueller is an American actress and real estate investor best known for her high-profile marriage to actor Charlie Sheen and appearances on reality television.
-
D.
Brooke Mills
Brooke Mills is an American actress best known for her roles in early 1970s exploitation and cult films.
-
E.
Brooke Breton
Brooke Breton is a film producer known for her work on projects such as the psychological thriller "Insomnia" (2002).
- 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: Brooke Alderson Triple: [Urban Cowboy, starring, Brooke Alderson]
Generated description
Brooke Alderson is an American actress best known for her supporting role in the 1980 film "Urban Cowboy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brooke Alderson Target entity description: Brooke Alderson is an American actress best known for her supporting role in the 1980 film "Urban Cowboy."
-
A.
Brooke Nelson
Brooke Nelson is the child of American businessman and former U.S. Senator Ben Nelson.
-
B.
Brooke Bowman
Brooke Bowman is an American television executive known for her work in programming and development at major cable networks such as FX and Fox.
-
C.
Brooke Mueller
Brooke Mueller is an American actress and real estate investor best known for her high-profile marriage to actor Charlie Sheen and appearances on reality television.
-
D.
Brooke Mills
Brooke Mills is an American actress best known for her roles in early 1970s exploitation and cult films.
-
E.
Brooke Breton
Brooke Breton is a film producer known for her work on projects such as the psychological thriller "Insomnia" (2002).
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d6b3c88190aa8fb72d8ad9644d |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d773f881908660e8a0645d318d |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbf47c888190be32a4105903120a |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 9, 2026, 10:11 p.m.