Triple
T18066453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norm Scully |
E432306
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Joel McKinnon Miller |
—
|
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: Joel McKinnon Miller | Statement: [Norm Scully, portrayedBy, Joel McKinnon Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel McKinnon Miller Context triple: [Norm Scully, portrayedBy, Joel McKinnon Miller]
-
A.
Joel McKinnon Miller
chosen
Joel McKinnon Miller is an American character actor best known for playing the affable Detective Norm Scully on the television comedy series "Brooklyn Nine-Nine."
-
B.
Cory Michael Smith
Cory Michael Smith is an American actor best known for portraying Edward Nygma/The Riddler on the television series "Gotham."
-
C.
Curtis Hudson
Curtis Hudson was an American songwriter best known for co-writing Madonna’s hit song “Holiday.”
-
D.
Drew Van Acker
Drew Van Acker is an American actor best known for his roles on television series such as "Pretty Little Liars" and "Devious Maids."
-
E.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce97ce08190a2f8762ce545e091 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.