Triple
T22121403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rassy Ragland Young |
E546678
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Ragland |
—
|
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: Ragland | Statement: [Rassy Ragland Young, hasMiddleName, Ragland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ragland Context triple: [Rassy Ragland Young, hasMiddleName, Ragland]
-
A.
Ragland
chosen
Ragland is the surname of Doria Ragland, the American social worker and mother of Meghan, Duchess of Sussex.
-
B.
Ragsdale
Ragsdale is the surname of American singer, songwriter, and comedian Ray Stevens.
-
C.
Kim Woolen
Kim Woolen is an American former dancer and the widow of country music star Glen Campbell.
-
D.
Laurendine
Laurendine was the former name of the community now known as Theodore in Mobile County, Alabama.
-
E.
Traylor
Traylor is the distinctive given name of American actress Traylor Howard, known for her roles in television series such as "Monk" and "Two Guys and a Girl."
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1297e7e188190873924403421caa2 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.