Triple
T12476580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dictator |
E298189
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Four By Two Films |
E883694
|
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: Four By Two Films | Statement: [The Dictator, productionCompany, Four By Two Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Four By Two Films Context triple: [The Dictator, productionCompany, Four By Two Films]
-
A.
Four By Two Films
chosen
Four By Two Films is a British film and television production company co-founded by comedian Sacha Baron Cohen, known for producing his comedy projects.
-
B.
One Two Films
One Two Films is a film production company known for producing independent and arthouse cinema, including the critically acclaimed drama "The Tale."
-
C.
Two Ton Films
Two Ton Films is a film production company best known for producing the ensemble romantic comedy "The Big Wedding."
-
D.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
E.
Greenpoint Films
Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcc24e48190ae9c367a03f659f4 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f25462881908dccb831b474875d |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.