Triple
T15224303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winifred Hudnut |
E363836
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hudnut
Hudnut is a surname of English origin borne by various notable individuals, including figures in American politics, architecture, and the arts.
|
E1144509
|
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: Hudnut | Statement: [Winifred Hudnut, familyName, Hudnut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hudnut Context triple: [Winifred Hudnut, familyName, Hudnut]
-
A.
Hoodi
Hoodi is a rapidly developing suburban neighborhood in eastern Bengaluru, India, known for its residential complexes, tech parks, and proximity to major IT hubs.
-
B.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
C.
Hudgens
Hudgens is the surname of American actress and singer Vanessa Hudgens, best known for her breakout role in Disney's "High School Musical" franchise.
-
D.
Udelar
Udelar is Uruguay’s main public university, renowned for its central role in the country’s higher education, research, and cultural life.
-
E.
Udjebten
Udjebten was an ancient Egyptian queen of the Sixth Dynasty, likely one of the principal wives of Pharaoh Pepi II Neferkare.
- 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: Hudnut Triple: [Winifred Hudnut, familyName, Hudnut]
Generated description
Hudnut is a surname of English origin borne by various notable individuals, including figures in American politics, architecture, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hudnut Target entity description: Hudnut is a surname of English origin borne by various notable individuals, including figures in American politics, architecture, and the arts.
-
A.
Hoodi
Hoodi is a rapidly developing suburban neighborhood in eastern Bengaluru, India, known for its residential complexes, tech parks, and proximity to major IT hubs.
-
B.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
C.
Hudgens
Hudgens is the surname of American actress and singer Vanessa Hudgens, best known for her breakout role in Disney's "High School Musical" franchise.
-
D.
Udelar
Udelar is Uruguay’s main public university, renowned for its central role in the country’s higher education, research, and cultural life.
-
E.
Udjebten
Udjebten was an ancient Egyptian queen of the Sixth Dynasty, likely one of the principal wives of Pharaoh Pepi II Neferkare.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd35ae348190beb1b113bfc66ab3 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fede7f7a788190a8d3006055b06e62 |
completed | May 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedf13876c8190b7b08cd8e00a05ea |
completed | May 9, 2026, 7:15 a.m. |
Created at: April 10, 2026, 3:12 a.m.