Triple
T7931820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hennessy |
E184205
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
George Hennessy
George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
|
E697136
|
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: George Hennessy | Statement: [Hennessy, hasNotableBearer, George Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Hennessy Context triple: [Hennessy, hasNotableBearer, George Hennessy]
-
A.
William Grant Sherry
William Grant Sherry was an American artist and World War II veteran best known as the third husband of actress Bette Davis.
-
B.
William Grant
William Grant was an architect and landscape designer known for his role in shaping the modern layout and features of New York City's Madison Square Park.
-
C.
Day Hennessy
Day Hennessy is a surname associated with the individual Tamar Teresa Day Hennessy.
-
D.
David Hennessy
David Hennessy is an individual known primarily in relation to his marriage to Tamar Teresa Day Hennessy.
-
E.
Jonathan Guinness
Jonathan Guinness is a British aristocrat, businessman, and writer, known as the 3rd Baron Moyne and a member of the prominent Guinness family.
- 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: George Hennessy Triple: [Hennessy, hasNotableBearer, George Hennessy]
Generated description
George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Hennessy Target entity description: George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
-
A.
William Grant Sherry
William Grant Sherry was an American artist and World War II veteran best known as the third husband of actress Bette Davis.
-
B.
William Grant
William Grant was an architect and landscape designer known for his role in shaping the modern layout and features of New York City's Madison Square Park.
-
C.
Day Hennessy
Day Hennessy is a surname associated with the individual Tamar Teresa Day Hennessy.
-
D.
David Hennessy
David Hennessy is an individual known primarily in relation to his marriage to Tamar Teresa Day Hennessy.
-
E.
Jonathan Guinness
Jonathan Guinness is a British aristocrat, businessman, and writer, known as the 3rd Baron Moyne and a member of the prominent Guinness family.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ace87f081908635769942645e78 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c041e588190bfbf251ed88d5bcd |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f22f89c8190a98208bf096a2427 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76d2dff8819085ad9e10baad1537 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:07 p.m.