Triple
T15636739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine (2016 film) |
E375963
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | BorderLine Films |
E417698
|
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: BorderLine Films | Statement: [Christine (2016 film), productionCompany, BorderLine Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BorderLine Films Context triple: [Christine (2016 film), productionCompany, BorderLine Films]
-
A.
BorderLine Films
chosen
BorderLine Films is an independent film production company known for producing dark, character-driven dramas and psychological thrillers.
-
B.
Tree Line Films
Tree Line Films is a film production company known for working on major feature films, including the 2007 Western thriller "3:10 to Yuma."
-
C.
Crossroads Films
Crossroads Films is a film and commercial production company known for producing independent features and high-end advertising content.
-
D.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
E.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4923ac8190a03fe1f2c878c27e |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.