Triple
T18943979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Slaughter Rule |
E463458
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Lot 47 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: Lot 47 Films | Statement: [The Slaughter Rule, distributor, Lot 47 Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lot 47 Films Context triple: [The Slaughter Rule, distributor, Lot 47 Films]
-
A.
Lot 47 Films
chosen
Lot 47 Films was an independent film distribution company known for releasing art-house and foreign films in the United States.
-
B.
Figment Films
Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
-
C.
Figment Films
Figment Films is a film production company known for producing the dark comedy crime film "Twin Town."
-
D.
Figment Films
Figment Films is a film production company known for producing the 1997 romantic black comedy "A Life Less Ordinary," directed by Danny Boyle.
-
E.
Figment Films
Figment Films is a British film production company best known for producing the influential 1996 drama "Trainspotting."
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d53e6e0c81908a547e21c4819bac |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, 11:59 a.m.