Triple
T19982931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn (2015 film) |
E493861
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Wildgaze 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: Wildgaze Films | Statement: [Brooklyn (2015 film), productionCompany, Wildgaze Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wildgaze Films Context triple: [Brooklyn (2015 film), productionCompany, Wildgaze Films]
-
A.
Wildgaze Films
chosen
Wildgaze Films is a British film production company known for producing acclaimed independent features such as "An Education" and "Brooklyn."
-
B.
Wildflower Films
Wildflower Films is a film production company known for producing the Australian drama feature "The Daughter."
-
C.
Raindog Films
Raindog Films is a British film production company co-founded by musician Peter Gabriel, known for producing socially conscious and politically themed films such as "Eye in the Sky."
-
D.
Greenpoint Films
Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
-
E.
Firefly Films
Firefly Films is a film production company known for producing the darkly comedic thriller "Come to Daddy."
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.