Triple
T19393286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junebug |
E485120
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Benjamin McKenzie |
—
|
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: Benjamin McKenzie | Statement: [Junebug, starring, Benjamin McKenzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin McKenzie Context triple: [Junebug, starring, Benjamin McKenzie]
-
A.
Benjamin McKenzie
chosen
Benjamin McKenzie is an American actor best known for his leading roles on the television series "The O.C." and "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.
Cory Michael Smith
Cory Michael Smith is an American actor best known for portraying Edward Nygma/The Riddler on the television series "Gotham."
-
D.
David Henrie
David Henrie is an American actor best known for playing Justin Russo on the Disney Channel series "Wizards of Waverly Place."
-
E.
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."
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b468dd88190acd82b4ee33bd39b |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.