Triple

T21354899
Position Surface form Disambiguated ID Type / Status
Subject Annette Badland E526591 entity
Predicate appearedIn P795 FINISHED
Object Bergerac (TV series) NE NERFINISHED

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: Bergerac (TV series) | Statement: [Annette Badland, appearedIn, Bergerac (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergerac (TV series)
Context triple: [Annette Badland, appearedIn, Bergerac (TV series)]
  • A. Bergerac
    Bergerac is a notable wine-producing area in southwestern France, recognized for its diverse red, white, and dessert wines.
  • B. Bergerac chosen
    Bergerac is a British crime drama television series set on the island of Jersey, following the cases of detective Jim Bergerac.
  • C. Les Vieux
    "Les Vieux" is a poignant chanson by Belgian singer-songwriter Jacques Brel that reflects on the loneliness and quiet decline of old age.
  • D. Le Beau Serge
    Le Beau Serge is a 1958 French film by Claude Chabrol, widely regarded as one of the first works of the French New Wave movement.
  • E. La Bérarde
    La Bérarde is a small alpine hamlet in the French Alps, known as a base for mountaineering and hiking in the Écrins massif.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9be3a48190aa8e6e9a5b812981 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:06 p.m.