Triple
T22767150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Breakfast Club |
E563156
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | A&M 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: A&M Films | Statement: [The Breakfast Club, productionCompany, A&M Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A&M Films Context triple: [The Breakfast Club, productionCompany, A&M Films]
-
A.
A&M Films
chosen
A&M Films was a film production company known for producing several 1980s comedies and genre movies.
-
B.
A&M Studios
A&M Studios was a renowned Los Angeles recording facility closely associated with A&M Records, where many prominent artists recorded influential albums.
-
C.
Vinson Films
Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
-
D.
Sunrise Films
Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
-
E.
Monterey Productions
Monterey Productions was a film production company best known for producing the classic Western movie "Red River."
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80e2688190b76844c408929d32 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:27 p.m.