Triple

T9034491
Position Surface form Disambiguated ID Type / Status
Subject Terence Alexander E216456 entity
Predicate notableWork P4 FINISHED
Object Bergerac
Bergerac is a British crime drama television series set on the island of Jersey, following the cases of detective Jim Bergerac.
E773359 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: Bergerac | Statement: [Terence Alexander, notableWork, Bergerac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergerac
Context triple: [Terence Alexander, notableWork, Bergerac]
  • A. Bergerac
    Bergerac is a notable wine-producing area in southwestern France, recognized for its diverse red, white, and dessert wines.
  • B. Vieux-Château
    Vieux-Château is a historic medieval fortress located on the Île d’Yeu off the Atlantic coast of France.
  • C. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • D. Foissac
    Foissac is a small commune in southern France known for its proximity to the prehistoric Grotte de Foissac cave system.
  • E. Pas de Peyrol
    Pas de Peyrol is a high mountain pass in France’s Massif Central, known as the highest road pass in the Cantal department and a key access point to the Puy Mary.
  • 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: Bergerac
Triple: [Terence Alexander, notableWork, Bergerac]
Generated description
Bergerac is a British crime drama television series set on the island of Jersey, following the cases of detective Jim Bergerac.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bergerac
Target entity description: Bergerac is a British crime drama television series set on the island of Jersey, following the cases of detective Jim Bergerac.
  • A. Bergerac
    Bergerac is a notable wine-producing area in southwestern France, recognized for its diverse red, white, and dessert wines.
  • B. Vieux-Château
    Vieux-Château is a historic medieval fortress located on the Île d’Yeu off the Atlantic coast of France.
  • C. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • D. Foissac
    Foissac is a small commune in southern France known for its proximity to the prehistoric Grotte de Foissac cave system.
  • E. Pas de Peyrol
    Pas de Peyrol is a high mountain pass in France’s Massif Central, known as the highest road pass in the Cantal department and a key access point to the Puy Mary.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6abf4af481908d21245332329d99 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbce352c8190b5862d0cc103bfdb completed April 3, 2026, 3:25 p.m.
NEDg Description generation batch_69cfdcdb9d0c81908f89d2085c80016c completed April 3, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_69cfdda4bf048190bc054fe9b1dcc98d completed April 3, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:08 p.m.