Triple
T22037859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic |
E544255
|
entity |
| Predicate | hasSongwriter |
P1360
|
FINISHED |
| Object | Turk |
—
|
NE NERFINISHED |
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: Turk | Statement: [Magic, hasSongwriter, Turk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turk Context triple: [Magic, hasSongwriter, Turk]
-
A.
Turk
chosen
Turk is an American rapper best known as a member of the New Orleans hip hop group the Hot Boys alongside Lil Wayne, Juvenile, and B.G.
-
B.
Turk
Turk is the affable, high-energy surgeon from the television series "Scrubs," known for his close friendship with J.D. and his comedic, dance-loving personality.
-
C.
Turk
A Turk is a member of the Turkic-speaking ethnic group primarily associated with the modern nation of Turkey and its cultural, historical, and linguistic heritage.
-
D.
Turk
Turk is a surname most notably associated with American actor Brian Turk, recognized for his roles in television and film.
-
E.
Turk
Turk is a minor character in William Inge’s play "Come Back, Little Sheba," typically portrayed as a young, attractive man whose presence heightens the emotional tensions among the main characters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f32edc81909b6898af6621f56f |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.