Triple
T20603776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagon Train |
E506248
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Denny 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: Denny Miller | Statement: [Wagon Train, starring, Denny Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denny Miller Context triple: [Wagon Train, starring, Denny Miller]
-
A.
Denny Miller
chosen
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.
-
B.
Pete Miller
Pete Miller is a musician best known as a member of the Celtic rock band O'Malley's March.
-
C.
Pete Miller
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.
-
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.
Dale Maloney
Dale Maloney is a musician best known as a member of the British electronic/alternative dance group Lo-Fidelity Allstars.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa22663881909a8d4644e1c48dc2 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.