Triple
T13834945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Why Did I Get Married Too? |
E332501
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Tyler Perry |
E286419
|
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: Tyler Perry | Statement: [Why Did I Get Married Too?, starredActor, Tyler Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyler Perry Context triple: [Why Did I Get Married Too?, starredActor, Tyler Perry]
-
A.
Tyler Perry
chosen
Tyler Perry is an American actor, filmmaker, and playwright best known for creating and portraying the character Madea and for his influential work in film, television, and theater.
-
B.
Hill Harper
Hill Harper is an American actor and author best known for his role as Dr. Sheldon Hawkes on the television series CSI: NY.
-
C.
D.L. Hughley
D.L. Hughley is an American stand-up comedian, actor, and political commentator known as one of the Original Kings of Comedy and for his work in television, film, and radio.
-
D.
David Witherspoon
David Witherspoon is a character known primarily as a member of the Witherspoon family related to Gus Witherspoon.
-
E.
Eric Darnell
Eric Darnell is an American director, screenwriter, and animator best known for his work on DreamWorks Animation films, including the Madagascar franchise and its spin-offs.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc31a91608190a80a69be38ac7f71 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:13 p.m.