Triple
T18030986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Lady |
E431387
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jake Carter |
—
|
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: Jake Carter | Statement: [Sweet Lady, producer, Jake Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Carter Context triple: [Sweet Lady, producer, Jake Carter]
-
A.
Jake Carter
chosen
Jake Carter is a music producer known for his work on Tyrese's self-titled R&B album.
-
B.
Adam Carter
Adam Carter is a central MI5 officer in the British television spy drama "Spooks," known for his high-stakes counter-terrorism work and complex personal life.
-
C.
Joe Carter
Joe Carter is a former Major League Baseball outfielder best known for his dramatic walk-off home run that clinched the 1993 World Series for the Toronto Blue Jays.
-
D.
Carter Rutherford
Carter Rutherford is a fictional World War I hero and star college football player whose celebrity status becomes central to the plot of the 2008 sports comedy film "Leatherheads."
-
E.
Kevin Collins
Kevin Collins is a fictional psychiatrist and long-running character on the ABC soap opera "General Hospital."
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.