Triple
T2997906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Bennett Kennedy |
E81114
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Patrick J. Kennedy |
E33981
|
NE FINISHED |
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: Patrick J. Kennedy | Statement: [Joan Bennett Kennedy, hasChild, Patrick J. Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick J. Kennedy Context triple: [Joan Bennett Kennedy, hasChild, Patrick J. Kennedy]
-
A.
Patrick J. Kennedy
chosen
Patrick J. Kennedy is an American former U.S. Representative from Rhode Island and a leading advocate for mental health and addiction policy reform.
-
B.
Patrick Kennedy
Patrick Kennedy is a British actor known for his work in film and television, including prominent roles in period dramas and literary adaptations.
-
C.
Daniel Kurtz-Phelan
Daniel Kurtz-Phelan is an American foreign policy expert, author, and editor who serves as editor-in-chief of the influential journal Foreign Affairs.
-
D.
Connor Murphy
Connor Murphy is a troubled, emotionally unstable teenager whose death becomes the catalyst for the events and moral dilemmas in the musical "Dear Evan Hansen."
-
E.
Kevin Bray
Kevin Bray is a film and television director known for his work on music videos as well as episodes of popular TV series and feature films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f612148190a5a565ba2ecc4fc0 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e468db4819094fb7badbd48ce1e |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.