Triple
T15309587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Miller |
E365993
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Red Miller |
E365993
|
NE FINISHED |
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: Red Miller | Statement: [Red Miller, name, Red Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Miller Context triple: [Red Miller, name, Red Miller]
-
A.
Red Miller
chosen
Red Miller was an American football coach best known for leading the Denver Broncos to their first Super Bowl appearance in the 1977 season.
-
B.
Ben Hillard
Ben Hillard is a character from the 1999 film "Instinct," which stars Anthony Hopkins and Cuba Gooding Jr.
-
C.
Dan Truman
Dan Truman is an American country musician best known as the keyboardist for the Grammy-winning band Diamond Rio.
-
D.
Dan Truman
Dan Truman is the NASA administrator in the 1998 disaster film "Armageddon," responsible for overseeing the mission to prevent an asteroid from destroying Earth.
-
E.
John Curtis Estes
John Curtis Estes is the birth name of John Holmes, a notorious American adult film actor who became one of the most famous pornographic performers of the 1970s and 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a20c1881909b387aed6f532c3d |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.