Triple
T6639193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana DeGarmo |
E150540
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
DeGarmo
DeGarmo is the surname of American singer and actress Diana DeGarmo, known for her rise to fame on the television show "American Idol."
|
E608270
|
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: DeGarmo | Statement: [Diana DeGarmo, familyName, DeGarmo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeGarmo Context triple: [Diana DeGarmo, familyName, DeGarmo]
-
A.
Haynes
Haynes is a surname most notably associated with American filmmaker Todd Haynes, known for his influential work in independent cinema.
-
B.
The Whitworth
The Whitworth is a prominent art gallery and museum in Manchester, England, renowned for its collections of fine art, textiles, and wallpapers and its integration with the surrounding park.
-
C.
Babbitt
Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
-
D.
Babbitt
Babbitt is a 1934 American film adaptation of Sinclair Lewis’s novel, featuring Guy Kibbee in the title role as a middle-class businessman confronting the emptiness of his conformist life.
-
E.
Gütermann
Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
- 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: DeGarmo Triple: [Diana DeGarmo, familyName, DeGarmo]
Generated description
DeGarmo is the surname of American singer and actress Diana DeGarmo, known for her rise to fame on the television show "American Idol."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DeGarmo Target entity description: DeGarmo is the surname of American singer and actress Diana DeGarmo, known for her rise to fame on the television show "American Idol."
-
A.
Haynes
Haynes is a surname most notably associated with American filmmaker Todd Haynes, known for his influential work in independent cinema.
-
B.
The Whitworth
The Whitworth is a prominent art gallery and museum in Manchester, England, renowned for its collections of fine art, textiles, and wallpapers and its integration with the surrounding park.
-
C.
Babbitt
Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
-
D.
Babbitt
Babbitt is a 1934 American film adaptation of Sinclair Lewis’s novel, featuring Guy Kibbee in the title role as a middle-class businessman confronting the emptiness of his conformist life.
-
E.
Gütermann
Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff1fe8081908c32db341b0fb354 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e455edb88190983f74f39e55665c |
completed | March 27, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_69c6e8584bd08190bb45747aca6e9327 |
completed | March 27, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e8dcc9bc819099ba39f67677195b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 2 p.m.