Triple
T3234070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TF1 Group |
E67807
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
TF1 Studio
TF1 Studio is the film and television production and distribution arm of the French media conglomerate TF1 Group.
|
E343143
|
NE FINISHED |
How this triple was built (4 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 Studio | Statement: [TF1 Group, hasDivision, TF1 Studio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TF1 Studio Context triple: [TF1 Group, hasDivision, TF1 Studio]
-
A.
TF1 Publicité
TF1 Publicité is the advertising sales arm of the French media conglomerate TF1 Group, responsible for managing and commercializing its advertising inventory across television and other platforms.
-
B.
TF1 channel
TF1 channel is a major French free-to-air television network known for its general-interest programming, including news, entertainment, and popular series.
-
C.
TF1 Séries Films
TF1 Séries Films is a French television channel specializing in series and films, owned by the TF1 Group.
-
D.
TF
TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
-
E.
TF
TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TF1 Studio Triple: [TF1 Group, hasDivision, TF1 Studio]
Generated description
TF1 Studio is the film and television production and distribution arm of the French media conglomerate TF1 Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TF1 Studio Target entity description: TF1 Studio is the film and television production and distribution arm of the French media conglomerate TF1 Group.
-
A.
TF1 Publicité
TF1 Publicité is the advertising sales arm of the French media conglomerate TF1 Group, responsible for managing and commercializing its advertising inventory across television and other platforms.
-
B.
TF1 channel
TF1 channel is a major French free-to-air television network known for its general-interest programming, including news, entertainment, and popular series.
-
C.
TF1 Séries Films
TF1 Séries Films is a French television channel specializing in series and films, owned by the TF1 Group.
-
D.
TF
TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
-
E.
TF
TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
- F. None of above. chosen
Provenance (5 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedcd9588190b3623f0109d653a4 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ea696a08190a17cbeeef7632977 |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b2966f189c8190bb56daea54be8a93 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6bf36988190b394766e9821047c |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:08 p.m.