Triple
T18780636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solex Agitator |
E459244
|
entity |
| Predicate | ownershipStatusInFilm |
P121203
|
FINISHED |
| Object | contested |
—
|
LITERAL 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: contested | Statement: [Solex Agitator, ownershipStatusInFilm, contested]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipStatusInFilm Context triple: [Solex Agitator, ownershipStatusInFilm, contested]
-
A.
ownedByInFilm
chosen
Indicates that one entity is portrayed as being owned or possessed by another entity within the context of a specific film.
-
B.
inheritedByInFilm
Indicates that a character, role, or attribute is passed on or taken over by another character within the narrative of a film.
-
C.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a film.
-
D.
engagementStatusAcrossFilm
Indicates the state or progression of an engagement (such as a relationship, commitment, or involvement) as it changes or is maintained throughout the duration of a film.
-
E.
roleInFilmEcosystem
Indicates the specific function or position an entity holds within the broader network of activities, stakeholders, and processes that make up the film ecosystem.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933ee89481908b647802961e4519 |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.