Triple
T14105985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCI |
E339505
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | TF1 Séries Films |
E339504
|
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: TF1 Séries Films | Statement: [LCI, sisterChannel, TF1 Séries Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TF1 Séries Films Context triple: [LCI, sisterChannel, TF1 Séries Films]
-
A.
TF1 Séries Films
chosen
TF1 Séries Films is a French television channel specializing in series and films, owned by the TF1 Group.
-
B.
Videotheque
Videotheque is a song by the British punk rock band Dollar, known for its catchy synth-pop style and chart success in the early 1980s.
-
C.
France 2 Cinéma
France 2 Cinéma is a French film production company affiliated with the public television channel France 2, known for co-producing a wide range of French and European feature films.
-
D.
FilmFour
FilmFour is a British film production company and former television channel associated with Channel 4, known for backing distinctive independent and arthouse films.
-
E.
ContentFilm
ContentFilm is a film production and distribution company known for backing independent and critically acclaimed movies such as "Thank You for Smoking."
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600ada808190b92d67dc30f13d15 |
completed | April 14, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf04871c8190891605415f1abf7f |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.