Triple
T663463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Trump |
E12807
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Haydon
Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
|
E88529
|
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: Haydon | Statement: [Vanessa Trump, familyName, Haydon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haydon Context triple: [Vanessa Trump, familyName, Haydon]
-
A.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
B.
Harrold
Harrold is a given name and surname, used as a variant spelling of Harold.
-
C.
Hale
Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
-
D.
Dyer
Dyer is a surname most infamously associated with British officer Reginald Dyer, known for ordering the 1919 Jallianwala Bagh massacre in Amritsar, India.
-
E.
Gowland
Gowland is the middle name of Frederick Gowland Hopkins, the English biochemist and Nobel laureate known for his work on vitamins and essential nutrients.
- 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: Haydon Triple: [Vanessa Trump, familyName, Haydon]
Generated description
Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haydon Target entity description: Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
-
A.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
B.
Harrold
Harrold is a given name and surname, used as a variant spelling of Harold.
-
C.
Hale
Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
-
D.
Dyer
Dyer is a surname most infamously associated with British officer Reginald Dyer, known for ordering the 1919 Jallianwala Bagh massacre in Amritsar, India.
-
E.
Gowland
Gowland is the middle name of Frederick Gowland Hopkins, the English biochemist and Nobel laureate known for his work on vitamins and essential nutrients.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd1f0ec819087003d30bbab2fa6 |
completed | March 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654d625608190814bec3b412c86d7 |
completed | March 3, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69a65583c7a481908b3833969c30da29 |
completed | March 3, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a655e1e88481909e37a9911bf5ba8c |
completed | March 3, 2026, 3:30 a.m. |
Created at: March 1, 2026, 7:36 p.m.