Triple
T12351385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.I.F.E |
E294495
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | LeriQ |
E977690
|
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: LeriQ | Statement: [L.I.F.E, hasContributor, LeriQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LeriQ Context triple: [L.I.F.E, hasContributor, LeriQ]
-
A.
LeriQ
chosen
LeriQ is a Nigerian music producer best known for his work with Burna Boy and contributions to the contemporary Afrobeats sound.
-
B.
Luli
Luli is a dialect of the Paama language, spoken by a subset of Paama speakers in Vanuatu.
-
C.
Lari
Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
-
D.
Lari
Lari is a town in Kenya’s Central Region, known for its agricultural activities and its location within Kiambu County.
-
E.
Shiqi
Shiqi was a historical administrative and commercial center that served as the capital of Xiangshan County in Guangdong during the Qing Empire.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef437d08190b09132fa090504a5 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:53 p.m.