Triple
T4168430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dre |
E84500
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Dre |
E84500
|
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: Dre | Statement: [Dre, nickname, Dre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dre Context triple: [Dre, nickname, Dre]
-
A.
Dre
chosen
Dre is the nickname of André 3000, the influential American rapper, singer, songwriter, and actor best known as one half of the hip hop duo Outkast.
-
B.
Dre
Dre is the troubled, obsessive young woman at the center of the psychological horror series "Swarm," whose fandom for a pop star drives her into increasingly violent behavior.
-
C.
Dre Moon
Dre Moon is a Grammy-winning American record producer and songwriter known for his work with major artists across R&B and hip-hop.
-
D.
Dre & Vidal
Dre & Vidal are an American R&B and hip-hop production duo known for crafting smooth, soulful tracks for artists like Alicia Keys and Usher.
-
E.
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.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c573788190a60ab3f83b07a6f6 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589ec8a60819099647577b7ab9be1 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:44 p.m.