Triple
T14526326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitley Gilbert |
E340786
|
entity |
| Predicate | closeFriend |
P8712
|
FINISHED |
| Object | Kimberly Reese |
—
|
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: Kimberly Reese | Statement: [Whitley Gilbert, closeFriend, Kimberly Reese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberly Reese Context triple: [Whitley Gilbert, closeFriend, Kimberly Reese]
-
A.
Kimberly Reese
chosen
Kimberly Reese is a diligent, ambitious college student and close friend of Whitley Gilbert on the sitcom "A Different World," known for her academic drive and grounded personality.
-
B.
Kimberly Payne
Kimberly Payne is best known as the wife of American country music singer Lee Greenwood.
-
C.
Kimberly Parker
Kimberly Parker is a film producer known for her work on the 2013 drama "A Teacher."
-
D.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
E.
Kimberly Drummond
Kimberly Drummond is a central character on the American sitcom "Diff'rent Strokes," known as the teenage daughter in the wealthy Drummond family who helps bridge the cultural gap with her adopted brothers.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:22 a.m.