Triple
T13732752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean C & LV |
E329850
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | LV |
E1055219
|
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: LV | Statement: [Sean C & LV, hasMember, LV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LV Context triple: [Sean C & LV, hasMember, LV]
-
A.
LV
LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
-
B.
LV
chosen
LV is an American rapper and singer best known for his soulful hook on Coolio’s Grammy-winning hit “Gangsta’s Paradise.”
-
C.
LEV
LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
-
D.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
E.
LU
LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d66cb088190be2621753d0a6740 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.