Triple
T9961585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvin Kamara |
E195581
|
entity |
| Predicate | hasInstagramUsername |
P3718
|
FINISHED |
| Object |
alvinkamara
alvinkamara is the official Instagram username of NFL running back Alvin Kamara.
|
E831946
|
NE FINISHED |
How this triple was built (4 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: alvinkamara | Statement: [Alvin Kamara, hasInstagramUsername, alvinkamara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: alvinkamara Context triple: [Alvin Kamara, hasInstagramUsername, alvinkamara]
-
A.
ALV
ALV is the stock ticker symbol for Allianz SE, a major global financial services and insurance company based in Germany.
-
B.
Hooghkamer
Hooghkamer is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
C.
Aluank
Aluank is an ancient historical region and kingdom in the eastern Caucasus, known in classical sources as Caucasian Albania.
-
D.
Kamberi
Kamberi are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi State and known for their distinct language and traditional cultural practices.
-
E.
Alvik
Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: alvinkamara Triple: [Alvin Kamara, hasInstagramUsername, alvinkamara]
Generated description
alvinkamara is the official Instagram username of NFL running back Alvin Kamara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: alvinkamara Target entity description: alvinkamara is the official Instagram username of NFL running back Alvin Kamara.
-
A.
ALV
ALV is the stock ticker symbol for Allianz SE, a major global financial services and insurance company based in Germany.
-
B.
Hooghkamer
Hooghkamer is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
C.
Aluank
Aluank is an ancient historical region and kingdom in the eastern Caucasus, known in classical sources as Caucasian Albania.
-
D.
Kamberi
Kamberi are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi State and known for their distinct language and traditional cultural practices.
-
E.
Alvik
Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
- F. None of above. chosen
Provenance (5 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6d37f0c8190946b958c399f3250 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d904bbc8190ac0b28600ed2e709 |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23fa1e3288190b755b3966178ad52 |
completed | April 5, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d24077720c81909a43ff56627095a1 |
completed | April 5, 2026, 10:59 a.m. |
Created at: March 30, 2026, 8:47 p.m.