Triple
T20334798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Pen |
E492581
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Lynise Walters |
—
|
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: Lynise Walters | Statement: [Queen Pen, birthName, Lynise Walters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynise Walters Context triple: [Queen Pen, birthName, Lynise Walters]
-
A.
Lynise Walters
chosen
Lynise Walters is a songwriter best known for co-writing the hit R&B single "No Diggity."
-
B.
Lori Collins
Lori Collins is a central character in the comedy film "Ted," known as John Bennett’s long-suffering girlfriend who pushes him to grow up and choose between her and his crude, living teddy bear best friend.
-
C.
Christine Roulston
Christine Roulston is a Canadian academic and scholar, known for her work in French studies and gender/sexuality studies and as the long-term partner of author Emma Donoghue.
-
D.
Michelle Larrett
Michelle Larrett is best known as the wife of the late British actor Lewis Collins, who starred in the television series "The Professionals."
-
E.
Tanya Wright
Tanya Wright is an American actress best known for her role as Crystal Burset on the television series "Orange Is the New Black."
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ea8a088190b2b37accd6b24277 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:23 a.m.