Triple
T13067939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elaine Baylor |
E329376
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Elaine Baylor |
E329376
|
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: Elaine Baylor | Statement: [Elaine Baylor, name, Elaine Baylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaine Baylor Context triple: [Elaine Baylor, name, Elaine Baylor]
-
A.
Elaine Baylor
chosen
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
-
B.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
C.
Arlene Miles
Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
-
D.
Darlene Hunt
Darlene Hunt is an American television writer and producer best known for creating the Showtime series "The Big C" and serving as an executive producer on various TV projects.
-
E.
Lorraine Bailey
Lorraine Bailey was the proprietor of the historic Lorraine Motel in Memphis, Tennessee, later known as the site of Dr. Martin Luther King Jr.'s assassination and now part of the National Civil Rights Museum.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f5c0d88190b51cd65f6b7f8e6d |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 9 p.m.