Triple
T12321550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daps |
E293739
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Iggy Azalea |
E211646
|
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: Iggy Azalea | Statement: [Daps, hasWorkedWith, Iggy Azalea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iggy Azalea Context triple: [Daps, hasWorkedWith, Iggy Azalea]
-
A.
Iggy Azalea
chosen
Iggy Azalea is an Australian rapper and songwriter known for hits like "Fancy" and her prominent presence in mainstream pop and hip-hop in the 2010s.
-
B.
Azealia Banks
Azealia Banks is an American rapper, singer, and songwriter known for her rapid-fire flow, genre-blending dance and hip-hop tracks, and outspoken public persona.
-
C.
Saweetie
Saweetie is an American rapper and songwriter known for her catchy, confident hip-hop tracks like "ICY GRL" and "My Type."
-
D.
Jessie Reyez
Jessie Reyez is a Canadian singer-songwriter known for her raw, emotive vocals and confessional R&B and pop songs such as "Figures" and her EP "Kiddo."
-
E.
Doja Cat
Doja Cat is an American rapper, singer, songwriter, and producer known for her genre-blending pop and hip-hop hits, viral online presence, and visually inventive music videos.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8aa94881908e4c184062037ab5 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.