Triple
T18709402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Bassett as Diane |
E457457
|
entity |
| Predicate | onScreenDynamicWith |
P128578
|
FINISHED |
| Object | Nick Wells |
—
|
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: Nick Wells | Statement: [Angela Bassett as Diane, onScreenDynamicWith, Nick Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Wells Context triple: [Angela Bassett as Diane, onScreenDynamicWith, Nick Wells]
-
A.
Nick Wells
Nick Wells is the seasoned, meticulous safecracker and professional thief portrayed by Robert De Niro in the 2001 heist film "The Score."
-
B.
Nick Wells
chosen
Nick Wells is a fictional character portrayed as Diane's romantic partner in the film "How Stella Got Her Groove Back."
-
C.
Jeff Wells
Jeff Wells is the adventurous young protagonist of the science fiction series "The Norby Chronicles," known for his escapades with the quirky robot Norby.
-
D.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
-
E.
Michael Wells
Michael Wells is best known as the husband of acclaimed British actress Susannah York.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.