Triple
T38670963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ApolloMedia |
E940584
|
entity |
| Predicate | financedFilm |
P88702
|
FINISHED |
| Object | Liberty Stands Still |
—
|
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: Liberty Stands Still | Statement: [ApolloMedia, financedFilm, Liberty Stands Still]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financedFilm Context triple: [ApolloMedia, financedFilm, Liberty Stands Still]
-
A.
distributedFilm
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
-
B.
filmProject
Indicates a relationship where an entity is involved in or associated with a specific film production project.
-
C.
backedFilm
chosen
Indicates that one entity provided financial or promotional support for the production or distribution of a film.
-
D.
finalFilmBy
Indicates that a given film is the last movie directed, produced, or otherwise primarily created by a particular person or entity in their career or filmography.
-
E.
fianceeInFilm
Indicates that one character is the fiancée of another character within the context of a film’s narrative.
- F. None of above.
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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:33 p.m.