Triple
T20699506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giving You the Best That I Got |
E508740
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Skip Scarborough |
—
|
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: Skip Scarborough | Statement: [Giving You the Best That I Got, writer, Skip Scarborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skip Scarborough Context triple: [Giving You the Best That I Got, writer, Skip Scarborough]
-
A.
Skip Scarborough
chosen
Skip Scarborough was an American songwriter and producer best known for crafting smooth R&B and soul hits in the 1970s and 1980s.
-
B.
Mark Brinkley
Mark Brinkley is a British writer and self-build expert best known for his practical guides on house construction and renovation.
-
C.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
D.
Tom LaGarde
Tom LaGarde is a former American professional basketball player and Olympic gold medalist who played as a center/forward in the NBA during the late 1970s and early 1980s.
-
E.
Gary McCarthy
Gary McCarthy is an American politician who serves as the mayor of Schenectady, New 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18a77308190b7c2517d82a145cd |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:11 p.m.