Triple
T12031485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler Perry |
E286419
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Emmitt |
E961387
|
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: Emmitt | Statement: [Tyler Perry, givenName, Emmitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmitt Context triple: [Tyler Perry, givenName, Emmitt]
-
A.
Emmitt
Emmitt is a masculine given name most famously associated with Pro Football Hall of Fame running back Emmitt Smith.
-
B.
Payton
Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
-
C.
Terrell
Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
-
D.
Terrell
Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
-
E.
Emmitt Perry Jr.
chosen
Emmitt Perry Jr., better known as Tyler Perry, is an American filmmaker, playwright, and actor renowned for creating and portraying the character Madea and building a media empire centered on African-American audiences.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f24490819092ec911d6ed8e24b |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f646423c819088575a7032e6a9a3 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.