Triple
T4515514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamar Teresa Day Hennessy |
E102143
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Beatrice Hennessy
Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
|
E450777
|
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: Beatrice Hennessy | Statement: [Tamar Teresa Day Hennessy, hasChild, Beatrice Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatrice Hennessy Context triple: [Tamar Teresa Day Hennessy, hasChild, Beatrice Hennessy]
-
A.
Beatrice Taylor
Beatrice Taylor is the beloved, nurturing aunt character from "The Andy Griffith Show," best known for her role as Aunt Bee in the fictional town of Mayberry.
-
B.
Beatrice Dawson
Beatrice Dawson was a British costume designer known for her work on mid-20th-century films, earning multiple Academy Award nominations for her period and character costumes.
-
C.
Beatrice Pearson
Beatrice Pearson was an American film actress best known for her leading role in the 1948 film noir "Force of Evil."
-
D.
Beatrice Durham
Beatrice Durham was the wife of pioneering British geneticist William Bateson and a supportive figure in his personal and scientific life.
-
E.
Beatrice Sisul
Beatrice Sisul is a film editor known for her work on the thriller "Message from the King."
- 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: Beatrice Hennessy Triple: [Tamar Teresa Day Hennessy, hasChild, Beatrice Hennessy]
Generated description
Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beatrice Hennessy Target entity description: Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
-
A.
Beatrice Taylor
Beatrice Taylor is the beloved, nurturing aunt character from "The Andy Griffith Show," best known for her role as Aunt Bee in the fictional town of Mayberry.
-
B.
Beatrice Dawson
Beatrice Dawson was a British costume designer known for her work on mid-20th-century films, earning multiple Academy Award nominations for her period and character costumes.
-
C.
Beatrice Pearson
Beatrice Pearson was an American film actress best known for her leading role in the 1948 film noir "Force of Evil."
-
D.
Beatrice Durham
Beatrice Durham was the wife of pioneering British geneticist William Bateson and a supportive figure in his personal and scientific life.
-
E.
Beatrice Sisul
Beatrice Sisul is a film editor known for her work on the thriller "Message from the King."
- 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_69bdacd174c88190a186bc2ecc20fcd5 |
completed | March 20, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69bdb220bc6481908955c5c953bbfb97 |
completed | March 20, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdb2871e3481908d143c52d9e7141f |
completed | March 20, 2026, 8:48 p.m. |
Created at: March 20, 2026, 1:02 p.m.