Triple
T10562811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Queen Kills Seven Times |
E249268
|
entity |
| Predicate | distributedBy |
P1951
|
FINISHED |
| Object | Cineriz |
E539888
|
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: Cineriz | Statement: [The Red Queen Kills Seven Times, distributedBy, Cineriz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cineriz Context triple: [The Red Queen Kills Seven Times, distributedBy, Cineriz]
-
A.
Cineriz
chosen
Cineriz was an Italian film production and distribution company known for handling prominent auteur films during the mid-20th century.
-
B.
Tourangelle
Tourangelle is the French term for a female inhabitant or native of the city of Tours in central France.
-
C.
Lusei
Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
-
D.
Candalus
Candalus is a figure from Greek mythology known as a son of Rhode.
-
E.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527212dd081908629d91ce08f96a0 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d93491d2408190b5f54afddbb51ec4 |
completed | April 10, 2026, 5:34 p.m. |
Created at: April 6, 2026, 12:36 p.m.