Triple
T14625484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mykelti Williamson |
E343332
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sondra Spriggs |
E343332
|
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: Sondra Spriggs | Statement: [Mykelti Williamson, spouse, Sondra Spriggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sondra Spriggs Context triple: [Mykelti Williamson, spouse, Sondra Spriggs]
-
A.
Sondra Spriggs
chosen
Sondra Spriggs is known as the former spouse of American actor Mykelti Williamson.
-
B.
Melba Snyder
Melba Snyder is a character associated with the animated television series "Zip."
-
C.
Marilee Earle
Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
-
D.
Darlene Snell
Darlene Snell is a volatile and ruthless heroin producer and matriarch in the crime drama series "Ozark," known for her unpredictable violence and fierce protection of her land and legacy.
-
E.
Betty Lou Bredemus
Betty Lou Bredemus was an American acting coach and theater professional best known as the mother of actress Julia Roberts.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46a4a9081908472b0a542028a7f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd1bb1c48190b5d2b4167c756abf |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 1:26 a.m.