Triple
T710174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André 3000 |
E14188
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | André 3K |
E14188
|
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: André 3K | Statement: [André 3000, alsoKnownAs, André 3K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André 3K Context triple: [André 3000, alsoKnownAs, André 3K]
-
A.
Tré Cool
Tré Cool is the longtime drummer of the American punk rock band Green Day, known for his energetic playing style and stage presence.
-
B.
André 3000
chosen
André 3000 is an American rapper, singer, songwriter, producer, and actor best known as one half of the influential hip hop duo Outkast.
-
C.
Gravediggaz
Gravediggaz is an American hip hop group known for pioneering the horrorcore subgenre with dark, horror-themed lyrics and production.
-
D.
Bugzy Malone
Bugzy Malone is a British rapper and actor known for helping pioneer the grime scene in Manchester and for his role in Guy Ritchie's film "The Gentlemen."
-
E.
Lupe Fiasco
Lupe Fiasco is an American rapper, songwriter, and producer known for his socially conscious lyrics and critically acclaimed albums such as "Food & Liquor" and "The Cool."
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55b63988190837e71fcdf3e39a6 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb3452c8190a150b4a182807813 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.