Triple
T17956317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamar Teresa Day Hennessy |
E448956
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Day Hennessy |
—
|
NE NERFINISHED |
How this triple was built (2 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: Day Hennessy | Statement: [Tamar Teresa Day Hennessy, hasFamilyName, Day Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Day Hennessy Context triple: [Tamar Teresa Day Hennessy, hasFamilyName, Day Hennessy]
-
A.
Day Hennessy
chosen
Day Hennessy is a surname associated with the individual Tamar Teresa Day Hennessy.
-
B.
Richard Hennessy
Richard Hennessy was an Irish officer and entrepreneur who founded the renowned French cognac house Hennessy in the 18th century.
-
C.
David Hennessy
David Hennessy is an individual known primarily in relation to his marriage to Tamar Teresa Day Hennessy.
-
D.
George Hennessy
George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afafe814819085300163f73de5f2 |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.