Triple
T8696265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice As Fuck |
E206410
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Erika Forster |
E750769
|
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: Erika Forster | Statement: [Nice As Fuck, bassist, Erika Forster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erika Forster Context triple: [Nice As Fuck, bassist, Erika Forster]
-
A.
Erika Forster
chosen
Erika Forster is an American musician best known as the bassist and vocalist of the indie pop band Au Revoir Simone and a member of the supergroup Nice As Fuck.
-
B.
Anne Forster
Anne Forster was the wife of the Irish philosopher and Anglican bishop George Berkeley, known primarily through her marriage into his prominent intellectual and clerical household.
-
C.
Elizabeth Hofmann
Elizabeth Hofmann is known as the spouse of American glass artist and sculptor Dan Dailey.
-
D.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
E.
Anna Eberstein
Anna Eberstein is a Swedish television producer and retail executive best known as the wife of British actor Hugh Grant.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc582996a0819097ad03097ad1f103 |
completed | March 31, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28958ba481908383e31802ce2093 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:34 p.m.