Triple
T8986363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fashawn |
E214675
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Blu |
E331041
|
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: Blu | Statement: [Fashawn, associatedAct, Blu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blu Context triple: [Fashawn, associatedAct, Blu]
-
A.
Blu
chosen
Blu is an American underground hip-hop rapper known for his introspective lyrics and acclaimed collaborations, particularly with producer Exile.
-
B.
Blu
Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
-
C.
Blu
Blu is a popular electronic cigarette and vaping brand known for its range of rechargeable and disposable e-cigarette products.
-
D.
Nëndetësja Blu
Nëndetësja Blu is a popular nickname for the Albanian football club Dinamo Tirana, reflecting its traditional blue colors and strong identity.
-
E.
Blum
Blum is a surname of German and Jewish origin borne by various notable individuals across fields such as mathematics, politics, and the arts.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67eddbf08190afca16e0be435241 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0bdb05c8190bb1fb5f0272a450a |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:03 p.m.