Triple
T22974024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storks |
E571263
|
entity |
| Predicate | voiceCast |
P18510
|
FINISHED |
| Object | Ty Burrell |
—
|
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: Ty Burrell | Statement: [Storks, voiceCast, Ty Burrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ty Burrell Context triple: [Storks, voiceCast, Ty Burrell]
-
A.
Ty Burrell
chosen
Ty Burrell is an American actor and comedian best known for his Emmy-winning role as Phil Dunphy on the television series "Modern Family."
-
B.
Joe Morton
Joe Morton is an American actor known for his versatile film and television roles, including notable performances in projects like "Terminator 2: Judgment Day" and the TV series "Scandal."
-
C.
John Izard
John Izard was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
-
D.
Leslie Jordan
Leslie Jordan was an Emmy-winning American actor and comedian known for his distinctive Southern charm and scene-stealing roles in television, film, and theater.
-
E.
Chris Givens
Chris Givens is a former American football wide receiver who played college football at Wake Forest University before moving on to a professional career in the NFL.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182350b448190a34e5fa0167fd964 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.