Triple
T21890438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Marlowe |
E540526
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kaye V. Dowling |
—
|
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: Kaye V. Dowling | Statement: [Hugh Marlowe, spouse, Kaye V. Dowling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaye V. Dowling Context triple: [Hugh Marlowe, spouse, Kaye V. Dowling]
-
A.
Kaye V. Dowling
chosen
Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
-
B.
Joan A. Dempsey
Joan A. Dempsey is a former senior U.S. intelligence official recognized for her influential leadership and service within the national security community.
-
C.
Judie G. Hoyt
Judie G. Hoyt is a film producer best known for her work on the acclaimed crime drama "Mystic River."
-
D.
Darla K. Anderson
Darla K. Anderson is an American film producer best known for her work on several acclaimed Pixar animated features.
-
E.
Donna W. Scott
Donna W. Scott is an American actress and former model best known for her work in film and television and for being married to late director Tony Scott.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc2124c8190a79cf115a1d30283 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.