Triple
T11013587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Dusenberry |
E260303
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dusenberry
Dusenberry is a surname of English origin borne by various individuals, including American actress Ann Dusenberry.
|
E900093
|
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: Dusenberry | Statement: [Ann Dusenberry, familyName, Dusenberry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dusenberry Context triple: [Ann Dusenberry, familyName, Dusenberry]
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Dunn
Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
-
C.
Tugwell
Tugwell is a surname most notably associated with Rexford G. Tugwell, an American economist and member of President Franklin D. Roosevelt’s New Deal "Brain Trust."
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Dortch
Dortch is a surname most notably associated with Helen Dortch Longstreet, an American social reformer, suffragist, and the second wife of Confederate General James Longstreet.
- 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: Dusenberry Triple: [Ann Dusenberry, familyName, Dusenberry]
Generated description
Dusenberry is a surname of English origin borne by various individuals, including American actress Ann Dusenberry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dusenberry Target entity description: Dusenberry is a surname of English origin borne by various individuals, including American actress Ann Dusenberry.
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Dunn
Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
-
C.
Tugwell
Tugwell is a surname most notably associated with Rexford G. Tugwell, an American economist and member of President Franklin D. Roosevelt’s New Deal "Brain Trust."
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Dortch
Dortch is a surname most notably associated with Helen Dortch Longstreet, an American social reformer, suffragist, and the second wife of Confederate General James Longstreet.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978b1e888190b297f107f6021b59 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374c238ac81908e0a5eff958d6545 |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:25 p.m.