Triple
T18507502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Lacy |
E452237
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Pete 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: Pete Miller | Statement: [Jake Lacy, playedCharacter, Pete Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Miller Context triple: [Jake Lacy, playedCharacter, Pete Miller]
-
A.
Pete Miller
Pete Miller is a musician best known as a member of the Celtic rock band O'Malley's March.
-
B.
Pete Miller
chosen
Pete Miller is a character from the U.S. version of "The Office," introduced in the later seasons as a new employee at Dunder Mifflin Scranton.
-
C.
Pete Anthony
Pete Anthony is an American orchestral conductor and orchestrator known for his extensive work on major Hollywood film scores.
-
D.
Fred Miller
Fred Miller is a former American football offensive tackle best known for his NFL career with teams including the St. Louis Rams and Chicago Bears.
-
E.
Denny Miller
Denny Miller was an American actor and former UCLA basketball player best known for his roles in film and television during the mid-20th century, including a notable appearance alongside Elvis Presley.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344033c8190a0883aef56ba79c3 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.