Triple
T2225578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Simon |
E48639
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Edie Brickell |
E62336
|
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: Edie Brickell | Statement: [Paul Simon, spouse, Edie Brickell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edie Brickell Context triple: [Paul Simon, spouse, Edie Brickell]
-
A.
Edie Brickell
chosen
Edie Brickell is an American singer-songwriter best known as the lead vocalist of Edie Brickell & New Bohemians and for her folk-rock and Americana collaborations.
-
B.
Shawn Colvin
Shawn Colvin is an American singer-songwriter and guitarist best known for her Grammy-winning contemporary folk and pop music, including the hit single "Sunny Came Home."
-
C.
Aimee Mann
Aimee Mann is an American singer-songwriter and bassist known for her introspective lyrics, melodic pop-rock style, and acclaimed work on the "Magnolia" film soundtrack.
-
D.
Sheryl Crow
Sheryl Crow is an American singer-songwriter and musician known for her blend of rock, pop, country, and folk influences and hits like "All I Wanna Do" and "If It Makes You Happy."
-
E.
Martha Tedeschi
Martha Tedeschi is an American art historian and museum leader known for her scholarship on works on paper and for heading major art institutions.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03ffcbc8190a27e32af831c7be5 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6565513081908b1117d16c375aec |
completed | March 9, 2026, 6:15 a.m. |
Created at: March 4, 2026, 7:47 p.m.