Triple
T9846218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 400 Blows |
E239347
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Sédif Productions |
E787492
|
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: Sédif Productions | Statement: [The 400 Blows, productionCompany, Sédif Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sédif Productions Context triple: [The 400 Blows, productionCompany, Sédif Productions]
-
A.
Dijon Productions
Dijon Productions was a mid-20th-century American film production company best known for producing the 1958 crime drama "Thunder Road."
-
B.
Gravier Productions
Gravier Productions is an American film production company best known for producing many of Woody Allen’s later films, including "Blue Jasmine."
-
C.
Siesta Productions
Siesta Productions is a film and television production company known for its work on the fantasy series "Carnival Row."
-
D.
Société Parisienne de Production
chosen
Société Parisienne de Production was a French film production company active in the mid-20th century, known for backing notable French cinema works.
-
E.
Brut Productions
Brut Productions was a film production company active in the 1970s, known for backing a range of offbeat and genre films.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb36156308190b26892702f3b41e0 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5e1b67c8190ad7b57ea423511d8 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.