Triple
T20253888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallipoli |
E498630
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | R & R 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: R & R Films | Statement: [Gallipoli, producer, R & R Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R & R Films Context triple: [Gallipoli, producer, R & R Films]
-
A.
R & R Films
chosen
R & R Films is a film production company best known for producing the acclaimed Australian war drama "Gallipoli."
-
B.
R2 Films
R2 Films is a film production company known for its involvement in the acclaimed drama "Dallas Buyers Club."
-
C.
Rastar Films
Rastar Films was an American film production company known for producing a range of notable Hollywood films from the 1960s through the 1980s.
-
D.
B-Reel Films
B-Reel Films is a Swedish film and television production company known for producing documentaries and narrative features, including the climate-focused film "I Am Greta."
-
E.
Rook Films
Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673aa42348190852ae8313f4494ca |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.