Triple
T11332753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordin Sparks |
E268386
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Dana Isaiah |
E268397
|
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: Dana Isaiah | Statement: [Jordin Sparks, spouse, Dana Isaiah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Isaiah Context triple: [Jordin Sparks, spouse, Dana Isaiah]
-
A.
Dana Isaiah
chosen
Dana Isaiah is an American fitness model and personal trainer best known as the husband of singer and actress Jordin Sparks.
-
B.
Danna
Danna is the surname of Mychael Danna, a Canadian composer renowned for his innovative and atmospheric film scores.
-
C.
Dana Remus
Dana Remus is an American lawyer who served as White House Counsel to President Joe Biden, advising on legal and ethical issues within the administration.
-
D.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
E.
Dana York
Dana York is an American woman best known as the widow of rock musician Tom Petty, whom she married in 2001 and remained with until his death.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263160548190adb7d5c0fd6af0e2 |
completed | April 19, 2026, 7 p.m. |
Created at: April 8, 2026, 9:32 p.m.