Triple
T21936823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystikal |
E541709
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Michael Lawrence Tyler |
—
|
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: Michael Lawrence Tyler | Statement: [Mystikal, birthName, Michael Lawrence Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Lawrence Tyler Context triple: [Mystikal, birthName, Michael Lawrence Tyler]
-
A.
Michael Lawrence Tyler
chosen
Michael Lawrence Tyler, better known by his stage name Mystikal, is an American rapper from New Orleans recognized for his rapid-fire delivery and distinctive raspy voice.
-
B.
James Michael Tyler
James Michael Tyler was an American actor best known for playing Gunther, the Central Perk barista, on the television sitcom "Friends."
-
C.
Ben Stahl
Ben Stahl is a notable individual recognized for achievements significant enough to distinguish him among others sharing the surname Stahl.
-
D.
Brian David Willis
Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
-
E.
Michael Pennington
Michael Pennington is a distinguished English actor and director, particularly renowned for his work in classical theatre and Shakespearean performance.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241c909c81908644eb73baa9def1 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:54 p.m.