Triple
T13608348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Dunphy |
E325123
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Ty Burrell |
E237560
|
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: Ty Burrell | Statement: [Phil Dunphy, portrayedBy, Ty Burrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ty Burrell Context triple: [Phil Dunphy, portrayedBy, 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.
Nick Searcy
Nick Searcy is an American character actor and director known for his roles in film and television, including his portrayal of Chief Deputy Art Mullen on the TV series "Justified."
-
E.
Matt Dabner
Matt Dabner is a film industry professional associated with the Australian production company Blue-Tongue Films, known for its work in independent cinema.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f98286c8190a866b5edc21f1225 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.