Triple
T4515494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamar Teresa Day Hennessy |
E102143
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Day Hennessy
Day Hennessy is a surname associated with the individual Tamar Teresa Day Hennessy.
|
E448956
|
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: Day Hennessy | Statement: [Tamar Teresa Day Hennessy, familyName, Day Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Day Hennessy Context triple: [Tamar Teresa Day Hennessy, familyName, Day 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.
Paul Masson
Paul Masson was a French track cyclist best known for winning multiple gold medals at the inaugural modern Olympic Games in 1896.
-
C.
Charles Black
Charles Black is a business associate and partner of Adam Black.
-
D.
Johnny Walker
Johnny Walker was the nickname of U.S. Army General Walton H. Walker, a prominent World War II and Korean War commander.
-
E.
Harrison Tweed
Harrison Tweed was a prominent American lawyer and legal reformer known for his leadership in bar associations and efforts to improve legal education and access to justice.
- 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: Day Hennessy Triple: [Tamar Teresa Day Hennessy, familyName, Day Hennessy]
Generated description
Day Hennessy is a surname associated with the individual Tamar Teresa Day Hennessy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Day Hennessy Target entity description: Day Hennessy is a surname associated with the individual Tamar Teresa Day 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.
Paul Masson
Paul Masson was a French track cyclist best known for winning multiple gold medals at the inaugural modern Olympic Games in 1896.
-
C.
Charles Black
Charles Black is a business associate and partner of Adam Black.
-
D.
Johnny Walker
Johnny Walker was the nickname of U.S. Army General Walton H. Walker, a prominent World War II and Korean War commander.
-
E.
Harrison Tweed
Harrison Tweed was a prominent American lawyer and legal reformer known for his leadership in bar associations and efforts to improve legal education and access to justice.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5725745c81908bb462ba9537ae14 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f8f66ac8190b719a653686c7258 |
completed | March 20, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_69bd803a225c8190ab82d0e36c9ff3f5 |
completed | March 20, 2026, 5:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd84c11d8881908819b36669dee7b5 |
completed | March 20, 2026, 5:32 p.m. |
Created at: March 20, 2026, 1:02 p.m.