Triple
T13996176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Girl (You Are Beautiful) |
E336701
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Mika
Mika is a British-Lebanese singer-songwriter and pop artist known for his flamboyant style, theatrical vocals, and hits like "Grace Kelly."
|
E66959
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Big Girl (You Are Beautiful), writer, Mika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mika Context triple: [Big Girl (You Are Beautiful), writer, Mika]
-
A.
Mika
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.
Martika
Martika is an American pop singer and former child actress best known for her late-1980s hits like "Toy Soldiers."
-
D.
Mika Newton
Mika Newton is a Ukrainian pop and rock singer best known internationally for representing Ukraine in the Eurovision Song Contest 2011 with the song "Angel."
-
E.
Kaoma
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mika Triple: [Big Girl (You Are Beautiful), writer, Mika]
Generated description
Mika is a British-Lebanese singer-songwriter and pop artist known for his flamboyant style, theatrical vocals, and hits like "Grace Kelly."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mika Target entity description: Mika is a British-Lebanese singer-songwriter and pop artist known for his flamboyant style, theatrical vocals, and hits like "Grace Kelly."
-
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.
Martika
Martika is an American pop singer and former child actress best known for her late-1980s hits like "Toy Soldiers."
-
D.
Mika Newton
Mika Newton is a Ukrainian pop and rock singer best known internationally for representing Ukraine in the Eurovision Song Contest 2011 with the song "Angel."
-
E.
Kaoma
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
- F. None of above.
Provenance (5 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_69fd323e89948190bb280e93e2058c0a |
completed | May 8, 2026, 12:45 a.m. |
| NEDg | Description generation | batch_69fd33d981408190b017164a04676f4c |
completed | May 8, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3437f90081908c325f0a36993f57 |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 9, 2026, 10:19 p.m.