Triple
T22102566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Long Riders |
E546205
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ed 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: Ed Miller | Statement: [The Long Riders, mainCharacter, Ed Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Miller Context triple: [The Long Riders, mainCharacter, Ed Miller]
-
A.
Matt Miller
Matt Miller is a television writer and producer best known for creating the comedy series "Trial & Error."
-
B.
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.
-
C.
Ty Miller
chosen
Ty Miller is an American actor best known for his role as The Kid in the television western series "The Young Riders."
-
D.
Nick Miller
Nick Miller is a gruff yet endearing, underachieving bartender and aspiring writer who serves as one of the central roommates and comedic leads in the sitcom "New Girl."
-
E.
Joe Miller
Joe Miller is a lawyer in the film "Philadelphia" who overcomes his own prejudices to defend an AIDS-stricken attorney in a landmark discrimination case.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129163b908190b63ace06016f4db8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.