Triple
T13004798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacey Dash |
E322256
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Darien Dash
Darien Dash is an American entrepreneur and tech executive known for founding one of the first African American–owned Internet companies, DME Interactive Holdings.
|
E1016175
|
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: Darien Dash | Statement: [Stacey Dash, relative, Darien Dash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darien Dash Context triple: [Stacey Dash, relative, Darien Dash]
-
A.
Darrah
Darrah is the middle name of William Darrah Kelley, a 19th-century American politician and long-serving U.S. Representative from Pennsylvania.
-
B.
Bayta Darell
Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
-
C.
Sarah Dash
Sarah Dash was an American singer best known as a member of the pioneering R&B vocal group Labelle, famed for their hit "Lady Marmalade."
-
D.
Diedre
Diedre is a person known primarily for being a friend of American actress and comedian Shanté Smith.
-
E.
Daisy Coulam
Daisy Coulam is a British television writer and producer known for creating and writing crime and drama series for UK television.
- 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: Darien Dash Triple: [Stacey Dash, relative, Darien Dash]
Generated description
Darien Dash is an American entrepreneur and tech executive known for founding one of the first African American–owned Internet companies, DME Interactive Holdings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darien Dash Target entity description: Darien Dash is an American entrepreneur and tech executive known for founding one of the first African American–owned Internet companies, DME Interactive Holdings.
-
A.
Darrah
Darrah is the middle name of William Darrah Kelley, a 19th-century American politician and long-serving U.S. Representative from Pennsylvania.
-
B.
Bayta Darell
Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
-
C.
Sarah Dash
Sarah Dash was an American singer best known as a member of the pioneering R&B vocal group Labelle, famed for their hit "Lady Marmalade."
-
D.
Diedre
Diedre is a person known primarily for being a friend of American actress and comedian Shanté Smith.
-
E.
Daisy Coulam
Daisy Coulam is a British television writer and producer known for creating and writing crime and drama series for UK television.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c107f990819093042560b1bc4473 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c43bc75c8190887b8135fbc8bbb5 |
completed | May 3, 2026, 3:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c50cf3c08190b1ef6379f1f96201 |
completed | May 3, 2026, 3:46 a.m. |
Created at: April 9, 2026, 8:47 p.m.