Triple
T13793736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drogas Wave |
E331460
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Simon Sayz |
E1061377
|
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: Simon Sayz | Statement: [Drogas Wave, featuresArtist, Simon Sayz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Sayz Context triple: [Drogas Wave, featuresArtist, Simon Sayz]
-
A.
Simon Sayz
chosen
Simon Sayz is a music producer best known for his work on Lupe Fiasco’s album "Drogas Wave."
-
B.
Simon Baz
Simon Baz is a Lebanese-American member of DC Comics' Green Lantern Corps, known for wielding a power ring alongside a handgun and confronting themes of post-9/11 prejudice and identity.
-
C.
Simon
Simon is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
D.
Simon
Simon is a fictional character from the animated television series "The Seasons."
-
E.
Simon
Simon is the young, initially timid but ultimately heroic protagonist of the anime series Tengen Toppa Gurren Lagann, known for piloting powerful mecha and embodying themes of growth and determination.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.