Triple
T21398936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brute Force |
E527859
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | John Hoyt |
—
|
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: John Hoyt | Statement: [Brute Force, starring, John Hoyt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hoyt Context triple: [Brute Force, starring, John Hoyt]
-
A.
John Hoyt
chosen
John Hoyt was an American character actor known for his prolific work in film and television from the 1940s through the 1980s, often portraying stern authority figures and intellectuals.
-
B.
John Wesley Hoyt
John Wesley Hoyt was an American politician and educator who served as the third Governor of the Wyoming Territory in the late 19th century.
-
C.
Robert Hoyt
Robert Hoyt is an individual notable enough to be recognized as a prominent bearer of the Hoyt surname.
-
D.
Lew Ayres
Lew Ayres was an American actor best known for his starring role in the anti-war film "All Quiet on the Western Front" and for his long-running portrayal of Dr. Kildare.
-
E.
Edward Van Sloan
Edward Van Sloan was an American character actor best known for his roles in early Universal horror films, including memorable appearances in classics like Dracula and Frankenstein.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:14 p.m.