Triple
T17896485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Riddler |
E447443
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Cory Michael Smith |
—
|
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: Cory Michael Smith | Statement: [The Riddler, portrayedBy, Cory Michael Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cory Michael Smith Context triple: [The Riddler, portrayedBy, Cory Michael Smith]
-
A.
Cory Michael Smith
chosen
Cory Michael Smith is an American actor best known for portraying Edward Nygma/The Riddler on the television series "Gotham."
-
B.
Caleb McLaughlin
Caleb McLaughlin is an American actor best known for playing Lucas Sinclair in the Netflix science-fiction horror series "Stranger Things."
-
C.
Drew Gehling
Drew Gehling is an American stage and screen actor best known for originating the role of Dr. Pomatter in the Broadway musical "Waitress."
-
D.
Benjamin McKenzie
Benjamin McKenzie is an American actor best known for his leading roles on the television series "The O.C." and "Gotham."
-
E.
Aden Young
Aden Young is an Australian actor known for his work in film and television, particularly for his acclaimed lead role in the drama series "Rectify."
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d8045748190a4e8c4684439a96b |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:19 a.m.