Triple

T14105928
Position Surface form Disambiguated ID Type / Status
Subject TFX E339503 entity
Predicate sisterChannel P5818 FINISHED
Object TFX 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: TFX Séries Films | Statement: [TFX, sisterChannel, TFX Séries Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TFX Séries Films
Context triple: [TFX, sisterChannel, TFX 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. Flix
    Flix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football championship.
  • C. Flix
    Flix is a small municipality in Catalonia, Spain, known for its location along a bend of the Ebro River and its historical industrial and hydroelectric activities.
  • 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. Flims
    Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • 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_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.