Triple
T13313449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French cinema |
E317130
|
entity |
| Predicate | notableStudio |
P65968
|
FINISHED |
| Object | Pathé |
E114849
|
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: Pathé | Statement: [French cinema, notableStudio, Pathé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pathé Context triple: [French cinema, notableStudio, Pathé]
-
A.
Pathé
chosen
Pathé is a historic French film production and distribution company that also operated as a major record label in the early and mid-20th century.
-
B.
Gaumont
Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
-
C.
Gaumont cinemas
Gaumont cinemas is a historic French cinema chain known for operating movie theaters across France and being one of the oldest names in the film exhibition industry.
-
D.
Pathé Exchange
Pathé Exchange was an early 20th-century American film distribution company known for handling and releasing numerous silent and early sound films.
-
E.
CinéArts
CinéArts is a Cinemark-owned brand of upscale movie theaters that focuses on presenting independent, foreign, and art-house films in a premium cinema environment.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f6d34c8190ba19dc2df7d42c22 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73061e90c81909badb0cd12b304a2 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:29 p.m.