Triple
T4515512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamar Teresa Day Hennessy |
E102143
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Teresa Hennessy
Teresa Hennessy is the child of Tamar Teresa Day Hennessy.
|
E448958
|
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: Teresa Hennessy | Statement: [Tamar Teresa Day Hennessy, hasChild, Teresa Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Hennessy Context triple: [Tamar Teresa Day Hennessy, hasChild, Teresa Hennessy]
-
A.
Deidre O’Neill
Deidre O’Neill is a character in Paulo Coelho’s novel "The Witch of Portobello," involved in the spiritual and mystical journey of the protagonist.
-
B.
Elizabeth McLaughlin
Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
-
C.
Katherine O’Flaherty
Katherine O’Flaherty, better known by her pen name Kate Chopin, was an American author recognized for her pioneering feminist short stories and the novel "The Awakening."
-
D.
Gloria Cleary
Gloria Cleary is a quirky, emotionally intense love interest portrayed by Isla Fisher in the comedy film "Wedding Crashers."
-
E.
Maureen Monaghan
Maureen Monaghan is the mother of English actor Dominic Monaghan, known for his roles in "The Lord of the Rings" film trilogy and the television series "Lost."
- 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: Teresa Hennessy Triple: [Tamar Teresa Day Hennessy, hasChild, Teresa Hennessy]
Generated description
Teresa Hennessy is the child of Tamar Teresa Day Hennessy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teresa Hennessy Target entity description: Teresa Hennessy is the child of Tamar Teresa Day Hennessy.
-
A.
Deidre O’Neill
Deidre O’Neill is a character in Paulo Coelho’s novel "The Witch of Portobello," involved in the spiritual and mystical journey of the protagonist.
-
B.
Elizabeth McLaughlin
Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
-
C.
Katherine O’Flaherty
Katherine O’Flaherty, better known by her pen name Kate Chopin, was an American author recognized for her pioneering feminist short stories and the novel "The Awakening."
-
D.
Gloria Cleary
Gloria Cleary is a quirky, emotionally intense love interest portrayed by Isla Fisher in the comedy film "Wedding Crashers."
-
E.
Maureen Monaghan
Maureen Monaghan is the mother of English actor Dominic Monaghan, known for his roles in "The Lord of the Rings" film trilogy and the television series "Lost."
- 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.