Triple
T7931821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hennessy |
E184205
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Maurice Hennessy
Maurice Hennessy is a member of the Hennessy cognac family who has been a prominent figure in promoting and representing the historic Hennessy brand worldwide.
|
E742747
|
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: Maurice Hennessy | Statement: [Hennessy, hasNotableBearer, Maurice Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Hennessy Context triple: [Hennessy, hasNotableBearer, Maurice Hennessy]
-
A.
Alain Chevalier
Alain Chevalier was a French businessman best known as a co-founder and early architect of the luxury goods conglomerate LVMH.
-
B.
Maurice Benard
Maurice Benard is an American actor best known for his long-running role as Sonny Corinthos on the soap opera "General Hospital."
-
C.
Guy Billout
Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
-
D.
Michel Macary
Michel Macary is a French architect best known for co-designing major public venues, including the iconic Stade de France in Paris.
-
E.
Marc Gricourt
Marc Gricourt is a French politician who serves as the mayor of the city of Blois.
- 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: Maurice Hennessy Triple: [Hennessy, hasNotableBearer, Maurice Hennessy]
Generated description
Maurice Hennessy is a member of the Hennessy cognac family who has been a prominent figure in promoting and representing the historic Hennessy brand worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maurice Hennessy Target entity description: Maurice Hennessy is a member of the Hennessy cognac family who has been a prominent figure in promoting and representing the historic Hennessy brand worldwide.
-
A.
Alain Chevalier
Alain Chevalier was a French businessman best known as a co-founder and early architect of the luxury goods conglomerate LVMH.
-
B.
Maurice Benard
Maurice Benard is an American actor best known for his long-running role as Sonny Corinthos on the soap opera "General Hospital."
-
C.
Guy Billout
Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
-
D.
Michel Macary
Michel Macary is a French architect best known for co-designing major public venues, including the iconic Stade de France in Paris.
-
E.
Marc Gricourt
Marc Gricourt is a French politician who serves as the mayor of the city of Blois.
- 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_69ce8828faf48190927b2a6680f6b4d8 |
completed | April 2, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69ce8a442b508190bd8319fda51edc4b |
completed | April 2, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8afff50c8190b2dd1a7e0a5a130b |
completed | April 2, 2026, 3:28 p.m. |
Created at: March 30, 2026, 5:07 p.m.