Triple
T9983683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracle Mile |
E196513
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | John Agar |
E442822
|
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: John Agar | Statement: [Miracle Mile, starring, John Agar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Agar Context triple: [Miracle Mile, starring, John Agar]
-
A.
John Agar
chosen
John Agar was an American film actor best known for his roles in Westerns and 1950s science fiction movies, and for his early marriage to Shirley Temple.
-
B.
Troy Donahue
Troy Donahue was an American actor and teen idol of the late 1950s and early 1960s, best known for his roles in romantic dramas and beach-themed films.
-
C.
Efrem Zimbalist
Efrem Zimbalist was a renowned Russian-American violinist, composer, and influential pedagogue of the 20th century.
-
D.
Brooke Palance
Brooke Palance is an American actress and the daughter of Academy Award–winning actor Jack Palance.
-
E.
Mike Morrow
Mike Morrow is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Morrow.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bdc0388190bbbd4bdc5ac3adec |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cb77b51481908af779b8ecacc3f1 |
completed | April 5, 2026, 8:52 p.m. |
Created at: March 30, 2026, 8:49 p.m.