Triple
T9148871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khaled Mohamed Khaled |
E219529
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Lil Wayne |
E26484
|
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: Lil Wayne | Statement: [Khaled Mohamed Khaled, associatedAct, Lil Wayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Wayne Context triple: [Khaled Mohamed Khaled, associatedAct, Lil Wayne]
-
A.
Lil Wayne
chosen
Lil Wayne is a Grammy-winning American rapper, singer, and songwriter known for his influential role in hip-hop and prolific output since the late 1990s.
-
B.
Nelly
Nelly is a Canadian singer-songwriter known for her eclectic pop sound and hits like "I'm Like a Bird" and "Promiscuous."
-
C.
Nelly
Nelly is a diminutive given name commonly used as a short form of Cornelia and related names.
-
D.
Nelly
Nelly is an American rapper, singer, and songwriter known for early-2000s hits like "Hot in Herre" and "Dilemma."
-
E.
Wiz Khalifa
Wiz Khalifa is an American rapper, singer, and songwriter known for hits like "Black and Yellow" and his laid-back, weed-centric persona.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca91a1fd08190a5bb3d9280439b09 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0545c5bb48190b889e6e9ef0448a5 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:20 p.m.