Triple
T12349701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvin Gaye |
E294449
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Kim Weston |
E308519
|
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: Kim Weston | Statement: [Marvin Gaye, associatedAct, Kim Weston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Weston Context triple: [Marvin Gaye, associatedAct, Kim Weston]
-
A.
Kim Weston
chosen
Kim Weston is an American soul and R&B singer best known for her 1960s Motown recordings and duets with Marvin Gaye.
-
B.
Amy Rydell
Amy Rydell is an actress known for her role in the 2001 biographical television film "James Dean."
-
C.
Morgan Fairchild
Morgan Fairchild is an American actress best known for her glamorous, often villainous roles in television soap operas and prime-time dramas from the 1970s and 1980s.
-
D.
Rebecca Luker
Rebecca Luker was a celebrated American Broadway soprano and actress known for her luminous performances in classic musicals such as The Secret Garden, Show Boat, and The Music Man.
-
E.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef437d08190b09132fa090504a5 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:53 p.m.