Triple
T12039170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kei Kamara |
E286616
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kamara |
E831944
|
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: Kamara | Statement: [Kei Kamara, familyName, Kamara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamara Context triple: [Kei Kamara, familyName, Kamara]
-
A.
Kamara
Kamara is the lower chamber of the Congress of the Philippines, responsible for creating and passing national legislation.
-
B.
Kamara
chosen
Kamara is a surname most prominently associated with Alvin Kamara, a star NFL running back known for his versatility and playmaking ability.
-
C.
Kei Kamara
Kei Kamara is a Sierra Leonean professional footballer and prolific striker known for being one of Major League Soccer’s all-time leading goal scorers.
-
D.
Asake Bomani
Asake Bomani is an American writer and former jazz singer best known as the ex-wife of actor and activist Danny Glover.
-
E.
Kendu Isaacs
Kendu Isaacs is a music industry manager best known for his long-term marriage to and professional work with R&B singer Mary J. Blige.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040a8be881908f4841145a7b4e86 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f64826a481908a09ca1c91c4e04f |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.