Triple
T8129499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracles from Heaven |
E189818
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Affirm Films |
E249214
|
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: Affirm Films | Statement: [Miracles from Heaven, productionCompany, Affirm Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affirm Films Context triple: [Miracles from Heaven, productionCompany, Affirm Films]
-
A.
Affirm Films
chosen
Affirm Films is a faith-based film production and distribution company known for producing Christian-themed movies under the Sony Pictures Entertainment umbrella.
-
B.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
C.
Greenpoint Films
Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
-
D.
Surefire Film Productions
Surefire Film Productions is a film production company best known for producing the 2005 Australian Western crime drama "The Proposition."
-
E.
Occupant Films
Occupant Films is an independent film production company known for producing character-driven, offbeat movies such as the coming-of-age drama "The Wackness."
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc947303f881908e16af664fb74dc8 |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:34 p.m.