Triple
T12363782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Whiteman |
E294806
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Barbara Whiteman
Barbara Whiteman is known as the wife of Dave Whiteman.
|
E982137
|
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: Barbara Whiteman | Statement: [Dave Whiteman, spouse, Barbara Whiteman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Whiteman Context triple: [Dave Whiteman, spouse, Barbara Whiteman]
-
A.
Barbara Whiteman
Barbara Whiteman is a wealthy, neurotic Beverly Hills housewife whose life is upended by a homeless man in the comedy film "Down and Out in Beverly Hills."
-
B.
Rosamund Tedder
Rosamund Tedder was the wife of British air marshal Arthur Tedder, later 1st Baron Tedder, and a member of the British aristocratic social circle surrounding senior military leadership in the mid-20th century.
-
C.
Millie Warne
Millie Warne is a character in the biographical film "Miss Potter," depicted as a close friend and supporter of children's author Beatrix Potter.
-
D.
Madge Evans
Madge Evans was an American stage and film actress of the early 20th century, known for her work in both silent and sound films.
-
E.
Vera Lynn
Vera Lynn was a beloved British singer known as the “Forces’ Sweetheart” for her morale-boosting songs during World War II.
- 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: Barbara Whiteman Triple: [Dave Whiteman, spouse, Barbara Whiteman]
Generated description
Barbara Whiteman is known as the wife of Dave Whiteman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara Whiteman Target entity description: Barbara Whiteman is known as the wife of Dave Whiteman.
-
A.
Barbara Whiteman
Barbara Whiteman is a wealthy, neurotic Beverly Hills housewife whose life is upended by a homeless man in the comedy film "Down and Out in Beverly Hills."
-
B.
Rosamund Tedder
Rosamund Tedder was the wife of British air marshal Arthur Tedder, later 1st Baron Tedder, and a member of the British aristocratic social circle surrounding senior military leadership in the mid-20th century.
-
C.
Millie Warne
Millie Warne is a character in the biographical film "Miss Potter," depicted as a close friend and supporter of children's author Beatrix Potter.
-
D.
Madge Evans
Madge Evans was an American stage and film actress of the early 20th century, known for her work in both silent and sound films.
-
E.
Vera Lynn
Vera Lynn was a beloved British singer known as the “Forces’ Sweetheart” for her morale-boosting songs during World War II.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634721e948190bb8e97ef677b9f59 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f6386304c08190b629d51fd0abcefa |
completed | May 2, 2026, 5:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63900ea248190bf59c1123ea78372 |
completed | May 2, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.