Triple
T4034666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pure Souls |
E83798
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | FnZ |
E328992
|
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: FnZ | Statement: [Pure Souls, producer, FnZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FnZ Context triple: [Pure Souls, producer, FnZ]
-
A.
FnZ
chosen
FnZ is a hip-hop production duo known for crafting atmospheric, hard-hitting beats for prominent rap artists.
-
B.
ZF
ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
-
C.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
D.
ZNG
ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
-
E.
Züm
Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563e11708190abc9ba55b1be43a5 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.