Triple
T19344691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Nash |
E483843
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Fiction Records |
—
|
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: Fiction Records | Statement: [Kate Nash, recordLabel, Fiction Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiction Records Context triple: [Kate Nash, recordLabel, Fiction Records]
-
A.
Fiction Records
chosen
Fiction Records is a British record label best known for releasing influential alternative and rock music, including work by bands such as The Cure and Snow Patrol.
-
B.
Fantasy Records
Fantasy Records is an American independent record label best known for its influential jazz catalog, including releases by artists like Dave Brubeck and Vince Guaraldi.
-
C.
One Records
One Records is a music label known for releasing hip-hop projects, including work by rapper Fashawn.
-
D.
Fontana Records
Fontana Records is a British record label known for releasing a wide range of pop, rock, and jazz recordings, particularly during the 1960s and 1970s.
-
E.
Festival Records
Festival Records was a prominent Australian record label known for signing and releasing music by major artists such as Olivia Newton-John.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e618598dc08190a723398dd6fe551d |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:34 p.m.