Triple
T15433815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beats By the Pound |
E369704
|
entity |
| Predicate | producedForArtist |
P14044
|
FINISHED |
| Object | Mia X |
E369154
|
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: Mia X | Statement: [Beats By the Pound, producedForArtist, Mia X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mia X Context triple: [Beats By the Pound, producedForArtist, Mia X]
-
A.
Mia X
chosen
Mia X is an American rapper from New Orleans known as one of the prominent female artists of Master P’s No Limit Records in the 1990s.
-
B.
Mia Form
Mia Form is the central protagonist of the story featuring Annabelle, around whom the main plot and character development revolve.
-
C.
Mia
Mia is a feminine given name used in many cultures, often as a short form of names like Maria or Amelia.
-
D.
Mia
"Mia" is a song by the American rock band Aerosmith from their 1979 album "Night in the Ruts."
-
E.
Mia
Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4546959081909f94449c0028ca3e |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 3:21 a.m.