Triple
T2545721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Save Room |
E57895
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object | Jessyca Wilson |
E57895
|
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: Jessyca Wilson | Statement: [Save Room, songwriter, Jessyca Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessyca Wilson Context triple: [Save Room, songwriter, Jessyca Wilson]
-
A.
Jessyca Wilson
chosen
Jessyca Wilson is a songwriter best known for her work on the track "Save Room."
-
B.
Lisa Whelchel
Lisa Whelchel is an American actress best known for playing Blair Warner on the classic television sitcom "The Facts of Life."
-
C.
Tiffany Burress
Tiffany Burress is best known as the wife of former NFL wide receiver Plaxico Burress.
-
D.
Natalie Desselle
Natalie Desselle was an American actress best known for her comedic roles in film and television, including her memorable performance in the 1997 adaptation of "Cinderella."
-
E.
Veanne Cox
Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2c285288190b41fc0188879623a |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d0a884c81909d7f537a79ccb435 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.