Triple
T9967958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Fleck |
E195730
|
entity |
| Predicate | franchise |
P1500
|
FINISHED |
| Object | DC Films |
E195733
|
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: DC Films | Statement: [Arthur Fleck, franchise, DC Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DC Films Context triple: [Arthur Fleck, franchise, DC Films]
-
A.
DC Films
chosen
DC Films is a film production banner of Warner Bros. focused on creating movies based on DC Comics characters and properties.
-
B.
DC Studios
DC Studios is the film and television production division responsible for developing and overseeing live-action and animated projects based on DC Comics properties.
-
C.
DC Entertainment
DC Entertainment is a media company and subsidiary of Warner Bros. responsible for managing and developing film, television, and other adaptations of DC Comics properties.
-
D.
DC Comics
DC Comics is a major American comic book publisher best known for iconic superhero characters such as Superman, Batman, and Wonder Woman.
-
E.
DC Extended Universe
The DC Extended Universe is a shared cinematic universe of superhero films and related media based on DC Comics characters, featuring interconnected stories and recurring characters across multiple movies.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71f9d7c8190ac02c53052c1c6ad |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23db701b881909bb986a32df4349b |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.