Triple
T23288628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandie Shaw |
E589962
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Nik Powell |
—
|
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: Nik Powell | Statement: [Sandie Shaw, spouse, Nik Powell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nik Powell Context triple: [Sandie Shaw, spouse, Nik Powell]
-
A.
Nik Powell
chosen
Nik Powell was a British entrepreneur and film producer best known for co-founding Virgin Records and later leading the National Film and Television School.
-
B.
Daniel Powell
Daniel Powell is a television producer best known for his work on the Emmy-winning sketch comedy series "Inside Amy Schumer."
-
C.
Keith Powell
Keith Powell is an American actor best known for playing the role of James "Toofer" Spurlock on the television sitcom 30 Rock.
-
D.
Ryan Powell
Ryan Powell is a former American lacrosse star and All-American attackman who became one of the most accomplished players in Syracuse University and professional lacrosse history.
-
E.
Matt Powell
Matt Powell is a musician best known as a former member of the American pop-punk band The Hi-Fives.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19649570c8190b565fafa55b1f886 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5:01 p.m.