Triple
T23468065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stowaway |
E569148
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | XYZ 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: XYZ Films | Statement: [Stowaway, productionCompany, XYZ Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XYZ Films Context triple: [Stowaway, productionCompany, XYZ Films]
-
A.
XYZ Films
chosen
XYZ Films is a film production company known for producing the dark comedy-thriller "I Don’t Feel at Home in This World Anymore."
-
B.
Element Films
Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
-
C.
Apache Films
Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
-
D.
ABC Motion Pictures
ABC Motion Pictures is a film production company known for financing and producing motion picture projects such as the movie "Plenty."
-
E.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.