Triple
T6107138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana White |
E136143
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anne White
Anne White is the wife of UFC president Dana White and is known for maintaining a private life largely out of the public spotlight.
|
E568757
|
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: Anne White | Statement: [Dana White, spouse, Anne White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne White Context triple: [Dana White, spouse, Anne White]
-
A.
Alice White
Alice White was an American film actress prominent in the late silent and early sound eras of Hollywood cinema.
-
B.
Ann White
Ann White is a singer best known as a member of the American folk music group The New Christy Minstrels.
-
C.
Margie Wright Diamond
Margie Wright Diamond is a collegiate softball stadium in Fresno, California, serving as the home field for Fresno State University's softball program.
-
D.
Frances White
Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
-
E.
Mae Whitman
Mae Whitman is an American actress known for her versatile work in film and television, including roles in projects like "Arrested Development," "Parenthood," and "The DUFF."
- 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: Anne White Triple: [Dana White, spouse, Anne White]
Generated description
Anne White is the wife of UFC president Dana White and is known for maintaining a private life largely out of the public spotlight.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne White Target entity description: Anne White is the wife of UFC president Dana White and is known for maintaining a private life largely out of the public spotlight.
-
A.
Alice White
Alice White was an American film actress prominent in the late silent and early sound eras of Hollywood cinema.
-
B.
Ann White
Ann White is a singer best known as a member of the American folk music group The New Christy Minstrels.
-
C.
Margie Wright Diamond
Margie Wright Diamond is a collegiate softball stadium in Fresno, California, serving as the home field for Fresno State University's softball program.
-
D.
Frances White
Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
-
E.
Mae Whitman
Mae Whitman is an American actress known for her versatile work in film and television, including roles in projects like "Arrested Development," "Parenthood," and "The DUFF."
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b806bd48190b6f020af3391adb8 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1255b27a88190b45b664a2ba41166 |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c125ede4f88190989a5a40accd2745 |
completed | March 23, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1268ffc7481909a9bd2be039dbf45 |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 22, 2026, 4:13 p.m.