Triple
T20248063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vee Parker |
E498475
|
entity |
| Predicate | exertsControlOver |
P139391
|
FINISHED |
| Object | Tasha "Taystee" Jefferson |
—
|
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: Tasha "Taystee" Jefferson | Statement: [Vee Parker, exertsControlOver, Tasha "Taystee" Jefferson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tasha "Taystee" Jefferson Context triple: [Vee Parker, exertsControlOver, Tasha "Taystee" Jefferson]
-
A.
Tasha "Taystee" Jefferson
chosen
Tasha "Taystee" Jefferson is a beloved, sharp-witted inmate whose emotional depth and tragic arc make her one of the most memorable characters in the television series *Orange Is the New Black*.
-
B.
Tiffany Thompson
Tiffany Thompson is the daughter of John Thompson.
-
C.
Tyisha Bogues
Tyisha Bogues is the daughter of former NBA point guard Muggsy Bogues.
-
D.
Taina Williams
Taina Williams is an American social media influencer and model known for her fashion content and for being in a high-profile relationship with rapper G Herbo.
-
E.
Tameka Foster
Tameka Foster is an American fashion stylist and television personality best known for her high-profile marriage to R&B singer Usher.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.