Triple
T15178098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby |
E362665
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | CMDK |
E1138363
|
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: CMDK | Statement: [Baby, producer, CMDK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMDK Context triple: [Baby, producer, CMDK]
-
A.
CMDK
chosen
CMDK is a music producer known for working on tracks for the artist Baby.
-
B.
DK3
DK3 is the third and final studio album by American girl group Danity Kane, released in 2014 and known for its R&B and pop sound created amid the group's internal conflicts and lineup changes.
-
C.
DMDK
DMDK (Desiya Murpokku Dravida Kazhagam) is a regional political party in Tamil Nadu, India, founded and led by actor-turned-politician Vijayakanth.
-
D.
KDTK
KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
-
E.
GDK
GDK is the low-level drawing and windowing system library that underpins GTK, providing an abstraction layer over the underlying graphical system.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00663b4148190b647592eda315d1d |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89061548190b0b10da00b8d937e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.