Triple
T8536519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan Followill |
E202089
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Jessie Baylin |
E741792
|
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: Jessie Baylin | Statement: [Nathan Followill, associatedAct, Jessie Baylin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessie Baylin Context triple: [Nathan Followill, associatedAct, Jessie Baylin]
-
A.
Jessie Baylin
chosen
Jessie Baylin is an American singer-songwriter known for her soulful, retro-influenced pop and folk music.
-
B.
Cassie Berman
Cassie Berman is an American musician and vocalist best known for her work with the indie rock band Silver Jews, contributing bass, guitar, and backing vocals.
-
C.
Jessy Schram
Jessy Schram is an American actress known for her roles in television series such as "Falling Skies," "Once Upon a Time," and various Hallmark Channel movies.
-
D.
Elyse Goldstein
Elyse Goldstein is a Canadian Reform rabbi, feminist, and educator known for her leadership in Jewish learning and advocacy for gender equality in Judaism.
-
E.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a3f024819095d560a205ff1c75 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce890eb0b48190aa76cc955d00ec18 |
completed | April 2, 2026, 3:19 p.m. |
Created at: March 30, 2026, 6:18 p.m.