Triple
T7217403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Sheen |
E149569
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
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.
|
E657910
|
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 Mueller | Statement: [Charlie Sheen, spouse, Brooke Mueller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooke Mueller Context triple: [Charlie Sheen, spouse, Brooke Mueller]
-
A.
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.
-
B.
Brooke Nelson
Brooke Nelson is the child of American businessman and former U.S. Senator Ben Nelson.
-
C.
Kelsey Burrell
Kelsey Burrell is known as the child of the Jamaican-American reggae fusion singer and rapper Shaggy.
-
D.
Shauneen Bruder
Shauneen Bruder is a Canadian business leader and executive who has served as chancellor of the University of Guelph.
-
E.
Brooklyn Decker
Brooklyn Decker is an American model and actress known for her Sports Illustrated Swimsuit Issue appearances and roles in films and television comedies.
- 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 Mueller Triple: [Charlie Sheen, spouse, Brooke Mueller]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brooke Mueller Target entity description: 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.
-
A.
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.
-
B.
Brooke Nelson
Brooke Nelson is the child of American businessman and former U.S. Senator Ben Nelson.
-
C.
Kelsey Burrell
Kelsey Burrell is known as the child of the Jamaican-American reggae fusion singer and rapper Shaggy.
-
D.
Shauneen Bruder
Shauneen Bruder is a Canadian business leader and executive who has served as chancellor of the University of Guelph.
-
E.
Brooklyn Decker
Brooklyn Decker is an American model and actress known for her Sports Illustrated Swimsuit Issue appearances and roles in films and television comedies.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99170d88190b1aef326a7d81134 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa67ec208190b513bf7e8252cdcb |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fbe2a86881909be54dac809aa9af |
completed | March 28, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fc84fff48190b4b43da21a9ede51 |
completed | March 28, 2026, 4:06 p.m. |
Created at: March 27, 2026, 2:53 p.m.