Triple
T17534101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halil Kut |
E427010
|
entity |
| Predicate | ethnicGroup |
P194
|
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: [Halil Kut, ethnicGroup, Turk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turk Context triple: [Halil Kut, ethnicGroup, Turk]
-
A.
Turk
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
chosen
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 was the nickname of American Major League Baseball pitcher Richard Joseph Farrell, known for his strong fastball and colorful personality in the 1950s and 1960s.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536ac7f48190994f7b39a6a811d7 |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.