Triple
T18762880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kids Are All Right |
E458816
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gilbert Films |
—
|
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: Gilbert Films | Statement: [The Kids Are All Right, producer, Gilbert Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilbert Films Context triple: [The Kids Are All Right, producer, Gilbert Films]
-
A.
Gilbert Films
chosen
Gilbert Films is an independent film production company known for producing acclaimed feature films and television projects.
-
B.
Vinson Films
Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
-
C.
Winkler Films
Winkler Films is a film production company best known for producing feature films such as the 1992 remake of "Night and the City."
-
D.
Eagle-Lion Films
Eagle-Lion Films was an American film production and distribution company active in the late 1940s, best known for its low-budget features and notable film noir titles.
-
E.
Mandeville Films
Mandeville Films is an American film and television production company known for producing a range of commercially successful and critically acclaimed movies and series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d80a954819083946dafc0c7af05 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.