Triple
T19504838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Burset |
E487993
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Tanya Wright
Tanya Wright is an American actress best known for her role as Crystal Burset on the television series "Orange Is the New Black."
|
E1495054
|
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: Tanya Wright | Statement: [Crystal Burset, portrayedBy, Tanya Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Wright Context triple: [Crystal Burset, portrayedBy, Tanya Wright]
-
A.
Tanya Stephens
Tanya Stephens is a Jamaican reggae and dancehall singer-songwriter known for her socially conscious lyrics and influential presence in Caribbean music.
-
B.
Tanya Reynolds
Tanya Reynolds is a British actress best known for her role as Lily Iglehart in the Netflix series "Sex Education."
-
C.
Rachel Wright
Rachel Wright is an individual known primarily as the sibling of Julia Wright.
-
D.
Tanya Jones
Tanya Jones is best known as the wife of British actor and former footballer Vinnie Jones.
-
E.
Cynthia Taylor
Cynthia Taylor is a fictional character from the television series "Mozart in the Jungle," portrayed as a seasoned oboist navigating the personal and professional challenges of life in a New York symphony orchestra.
- 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: Tanya Wright Triple: [Crystal Burset, portrayedBy, Tanya Wright]
Generated description
Tanya Wright is an American actress best known for her role as Crystal Burset on the television series "Orange Is the New Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanya Wright Target entity description: Tanya Wright is an American actress best known for her role as Crystal Burset on the television series "Orange Is the New Black."
-
A.
Tanya Stephens
Tanya Stephens is a Jamaican reggae and dancehall singer-songwriter known for her socially conscious lyrics and influential presence in Caribbean music.
-
B.
Tanya Reynolds
Tanya Reynolds is a British actress best known for her role as Lily Iglehart in the Netflix series "Sex Education."
-
C.
Rachel Wright
Rachel Wright is an individual known primarily as the sibling of Julia Wright.
-
D.
Tanya Jones
Tanya Jones is best known as the wife of British actor and former footballer Vinnie Jones.
-
E.
Cynthia Taylor
Cynthia Taylor is a fictional character from the television series "Mozart in the Jungle," portrayed as a seasoned oboist navigating the personal and professional challenges of life in a New York symphony orchestra.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a157a5d9481909a67f4d2294cd203 |
completed | May 17, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_6a0a1670367c819094330056f53aca2b |
completed | May 17, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a16f6b54c81909b16531c92c873ff |
completed | May 17, 2026, 7:28 p.m. |
Created at: April 10, 2026, 1:40 p.m.