Triple
T7963499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo' Hits All Stars |
E184937
|
entity |
| Predicate | performerOf |
P1363
|
FINISHED |
| Object | Pere |
E703317
|
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: Pere | Statement: [Mo' Hits All Stars, performerOf, Pere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pere Context triple: [Mo' Hits All Stars, performerOf, Pere]
-
A.
Pere
chosen
"Pere" is a popular Nigerian Afrobeats song performed by the Mo' Hits All Stars collective, showcasing the signature sound of the influential Mo' Hits Records era.
-
B.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
C.
Gervais
Gervais is the surname of British comedian, actor, writer, and director Ricky Gervais, best known for co-creating and starring in the original UK version of "The Office."
-
D.
Blaise
The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
-
E.
Blaise
Blaise is a river in northeastern France that flows through the Haute-Marne department.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9f577481908589d10fdc486abb |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc566604e881908792c7155a370e4c |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:12 p.m.