Triple
T13590694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hennessy |
E324684
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Richard Hennessy
Richard Hennessy was an Irish officer and entrepreneur who founded the renowned French cognac house Hennessy in the 18th century.
|
E1049176
|
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: Richard Hennessy | Statement: [Hennessy, foundedBy, Richard Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Hennessy Context triple: [Hennessy, foundedBy, Richard Hennessy]
-
A.
George Hennessy
George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
-
B.
Day Hennessy
Day Hennessy is a surname associated with the individual Tamar Teresa Day Hennessy.
-
C.
David Hennessy
David Hennessy is an individual known primarily in relation to his marriage to Tamar Teresa Day Hennessy.
-
D.
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.
-
E.
Rupert Guinness
Rupert Guinness was a British businessman, politician, and philanthropist from the prominent Guinness brewing family who served as a Conservative Member of Parliament and later became the 2nd Earl of Iveagh.
- 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: Richard Hennessy Triple: [Hennessy, foundedBy, Richard Hennessy]
Generated description
Richard Hennessy was an Irish officer and entrepreneur who founded the renowned French cognac house Hennessy in the 18th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Hennessy Target entity description: Richard Hennessy was an Irish officer and entrepreneur who founded the renowned French cognac house Hennessy in the 18th century.
-
A.
George Hennessy
George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
-
B.
Day Hennessy
Day Hennessy is a surname associated with the individual Tamar Teresa Day Hennessy.
-
C.
David Hennessy
David Hennessy is an individual known primarily in relation to his marriage to Tamar Teresa Day Hennessy.
-
D.
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.
-
E.
Rupert Guinness
Rupert Guinness was a British businessman, politician, and philanthropist from the prominent Guinness brewing family who served as a Conservative Member of Parliament and later became the 2nd Earl of Iveagh.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc347b881908267455f3bdd50e8 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77642e4b881909915c686a0d6c6fa |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7792110e48190a29b6e89c6ebcc03 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.