Triple
T13373229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brownstone |
E319118
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mimi Doby
Mimi Doby is a member of the Brownstone music group, contributing to their distinctive R&B sound.
|
E1036224
|
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: Mimi Doby | Statement: [Brownstone, hasMember, Mimi Doby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimi Doby Context triple: [Brownstone, hasMember, Mimi Doby]
-
A.
Mimi Thompson
Mimi Thompson is the wife of American pop artist James Rosenquist.
-
B.
Mimi O'Donnell
Mimi O'Donnell is an American costume designer, director, and producer best known for her long-term partnership with the late actor Philip Seymour Hoffman and her work in New York theater.
-
C.
Mimi Parker
Mimi Parker was an American drummer, vocalist, and co-founder of the indie rock band Low, known for her minimalist percussion and ethereal harmonies that helped define the group's slowcore sound.
-
D.
Mimi Craven
Mimi Craven is an American actress and former wife of horror filmmaker Wes Craven, known for her roles in film and television during the 1980s and 1990s.
-
E.
Angelique Bates
Angelique Bates is an American actress and comedian best known as an original cast member of the Nickelodeon sketch comedy series "All That."
- 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: Mimi Doby Triple: [Brownstone, hasMember, Mimi Doby]
Generated description
Mimi Doby is a member of the Brownstone music group, contributing to their distinctive R&B sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mimi Doby Target entity description: Mimi Doby is a member of the Brownstone music group, contributing to their distinctive R&B sound.
-
A.
Mimi Thompson
Mimi Thompson is the wife of American pop artist James Rosenquist.
-
B.
Mimi O'Donnell
Mimi O'Donnell is an American costume designer, director, and producer best known for her long-term partnership with the late actor Philip Seymour Hoffman and her work in New York theater.
-
C.
Mimi Parker
Mimi Parker was an American drummer, vocalist, and co-founder of the indie rock band Low, known for her minimalist percussion and ethereal harmonies that helped define the group's slowcore sound.
-
D.
Mimi Craven
Mimi Craven is an American actress and former wife of horror filmmaker Wes Craven, known for her roles in film and television during the 1980s and 1990s.
-
E.
Angelique Bates
Angelique Bates is an American actress and comedian best known as an original cast member of the Nickelodeon sketch comedy series "All That."
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcda64a48190b53243a763cd175b |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72682c7f08190b8553ca22734df27 |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f7270bf9308190a3e9427ffce0e3ee |
completed | May 3, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727d063c4819084b4990a0d759f79 |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 9, 2026, 9:33 p.m.