Triple
T19338599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Fly! |
E483688
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jim Freeman |
—
|
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: Jim Freeman | Statement: [To Fly!, producer, Jim Freeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Freeman Context triple: [To Fly!, producer, Jim Freeman]
-
A.
Jim Freeman
chosen
Jim Freeman was an American filmmaker best known for his pioneering work in large-format and IMAX documentary films.
-
B.
John McIntire
John McIntire was an American character actor known for his distinctive deep voice and roles in Western films and television, as well as voice work in classic Disney animated features.
-
C.
Bill Freeman
Bill Freeman is a supporting character in the 1986 science-fiction adventure film "Flight of the Navigator."
-
D.
Ralph Freeman
Ralph Freeman was a British civil engineer best known for designing major steel bridges in the early 20th century.
-
E.
Don Freeman
Don Freeman was an American painter, printmaker, and beloved children's book author-illustrator best known for creating the classic picture book "Corduroy."
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185538d48190ae4fa3ac0b0ca182 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.