Triple
T6462687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X Gon' Give It to Ya |
E142158
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Shatek King |
E594345
|
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: Shatek King | Statement: [X Gon' Give It to Ya, writer, Shatek King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shatek King Context triple: [X Gon' Give It to Ya, writer, Shatek King]
-
A.
Shatek King
chosen
Shatek King is a hip-hop music producer best known for his work on DMX’s hit single "X Gon' Give It to Ya."
-
B.
Alan King
Alan King was an American comedian and character actor known for his sharp observational humor and frequent film and television roles from the 1950s through the 1990s.
-
C.
Tim King
Tim King is a New Zealand local-body politician who serves as the mayor of the Tasman District.
-
D.
Ed King
Ed King was an American rock guitarist and songwriter best known as a member of Lynyrd Skynyrd, co-writing hits like "Sweet Home Alabama."
-
E.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f7e5908190ae4d8da2b14d274f |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653971f988190847187ae60b6eeb5 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:49 p.m.