Triple
T21244138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owens |
E523557
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Valerie Owens |
—
|
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: Valerie Owens | Statement: [Owens, hasNotableBearer, Valerie Owens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valerie Owens Context triple: [Owens, hasNotableBearer, Valerie Owens]
-
A.
Valerie Owens
chosen
Valerie Owens is a firm but compassionate psychiatric nurse in the film "Girl, Interrupted," who serves as a grounding, reality-check figure for the protagonist during her stay in a mental institution.
-
B.
Valerie Walker
Valerie Walker is a former standout basketball player recognized for her contributions to the Cheyney State Lady Wolves program.
-
C.
Yvette Mitchell
Yvette Mitchell was an early 20th-century actress known for appearing in silent films such as the 1917 production "The Kingdom of Love."
-
D.
DeWanna Bonner
DeWanna Bonner is an American professional basketball player and multi-time WNBA All-Star known for her scoring, versatility, and defensive impact.
-
E.
Lonette McKee
Lonette McKee is an American actress, singer, and songwriter best known for her roles in films like "Sparkle" and "Brewster's Millions" and for her work on stage and television.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352621488190bd74c57798c7d658 |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:47 p.m.