Triple
T19387530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G-Force |
E484973
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Jason Hellmann |
—
|
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: Jason Hellmann | Statement: [G-Force, editedBy, Jason Hellmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Hellmann Context triple: [G-Force, editedBy, Jason Hellmann]
-
A.
Jason Hellmann
chosen
Jason Hellmann is a film editor known for his work on the survival thriller movie "The Grey."
-
B.
Richard Hellmann
Richard Hellmann was a German-born New York deli owner and food entrepreneur best known for creating the Hellmann's mayonnaise brand in the early 20th century.
-
C.
Sam Hellman
Sam Hellman was an American screenwriter active during Hollywood’s studio era, known for contributing to numerous films including classic Westerns.
-
D.
Marco Hellman
Marco Hellman is a member of the prominent Hellman family, descended from influential California banker and philanthropist Isaias W. Hellman.
-
E.
Louis Hellman
Louis Hellman is a British architect and cartoonist best known for his satirical illustrations about architecture and the built environment.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b418f148190972b7b46038bc744 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.