Triple
T17956343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamar Teresa Day Hennessy |
E448958
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Teresa 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: 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.
Teresa Hennessy
chosen
Teresa Hennessy is the child of Tamar Teresa Day Hennessy.
-
B.
Martha Hennessy
Martha Hennessy is an American Catholic peace activist and granddaughter of Dorothy Day, known for her involvement in the Catholic Worker Movement and anti-nuclear protests.
-
C.
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.
-
D.
Eileen Conn
Eileen Conn is an American television writer and producer known for her work on various sitcoms and for being married to comedian and actor Larry Miller.
-
E.
Deirdre O'Connell
Deirdre O'Connell is an American actress known for her extensive work in film, television, and theater, including acclaimed stage performances and character roles on screen.
- 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.