Triple
T23410946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Property |
E560064
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Lions Gate 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: Lions Gate Films | Statement: [State Property, distributor, Lions Gate Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lions Gate Films Context triple: [State Property, distributor, Lions Gate Films]
-
A.
Lionsgate
chosen
Lionsgate is a major North American entertainment company and film studio known for producing and distributing a wide range of popular movies and television series.
-
B.
Lion's Gate Films
Lion's Gate Films is an American independent film production and distribution company known for releasing a wide range of arthouse and genre films.
-
C.
Myriad Pictures
Myriad Pictures is an independent film production and distribution company known for handling a range of arthouse and specialty films.
-
D.
Hollywood Pictures
Hollywood Pictures was a film production label of The Walt Disney Company that focused on releasing more mature and genre-oriented movies during the 1990s.
-
E.
Quadrant Pictures
Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a51183bc8190bd4860607b26b4b2 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:38 p.m.