Triple
T22884375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Blocker |
E567563
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Dolphia Parker Blocker |
—
|
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: Dolphia Parker Blocker | Statement: [Dan Blocker, spouse, Dolphia Parker Blocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolphia Parker Blocker Context triple: [Dan Blocker, spouse, Dolphia Parker Blocker]
-
A.
Dolphia Parker Blocker
chosen
Dolphia Parker Blocker is the wife of late actor Dan Blocker and the mother of actor Dirk Blocker.
-
B.
Dolphia Parker
Dolphia Parker is best known as the wife of American actor Dan Blocker, who played Hoss Cartwright on the classic television series "Bonanza."
-
C.
Dulcy Rogers
Dulcy Rogers is an American actress and writer best known for her work in film and television and her long-term marriage to actor Diedrich Bader.
-
D.
Viollette Menefee
Viollette Menefee is known as the wife of American sportscaster and Fox NFL Sunday host Curt Menefee.
-
E.
Desirée Blodgett
Desirée Blodgett is a character in the fantasy drama television series "The Nevers," set in Victorian London and centered on people—mostly women—who manifest unusual abilities.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fbfc5848190aa612ea51df5a9ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.