Triple
T13996358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underwater |
E336706
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Mika discography |
E66959
|
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: Mika discography | Statement: [Underwater, isPartOf, Mika discography]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mika discography Context triple: [Underwater, isPartOf, Mika discography]
-
A.
Mika
chosen
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
-
B.
Mika Miko
Mika Miko was a Los Angeles-based punk band known for its frenetic live shows and raw, lo-fi sound that drew from hardcore and post-punk influences.
-
C.
Mijac Music
Mijac Music is Michael Jackson’s music publishing company, which controls the rights to many of his compositions and related works.
-
D.
MIK
MIK is the stock ticker symbol for The Michaels Companies, a major North American retailer specializing in arts, crafts, framing, and home décor products.
-
E.
Mina
Mina is a coastal city and port in northern Lebanon known for its maritime activities and proximity to Tripoli.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb652305c81908ea097d4f36a05c0 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.