Triple
T14403775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Golden Pond |
E357141
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | IPC Films |
E357141
|
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: IPC Films | Statement: [On Golden Pond, producer, IPC Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IPC Films Context triple: [On Golden Pond, producer, IPC Films]
-
A.
IPC Films
IPC Films was an American film production company best known for producing the hit 1980 workplace comedy "9 to 5."
-
B.
IPC Films
chosen
IPC Films was an American film production company best known for producing the acclaimed 1981 drama "On Golden Pond."
-
C.
Integral Films
Integral Films is a film production company known for working on projects such as David Cronenberg’s satirical drama "Maps to the Stars."
-
D.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
E.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5523267081908d972b60b6039528 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.