Triple

T2175661
Position Surface form Disambiguated ID Type / Status
Subject Kiosque Peynet E48521 entity
Predicate associatedWith P37 FINISHED
Object Peynet lovers E242876 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: Peynet lovers | Statement: [Kiosque Peynet, associatedWith, Peynet lovers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peynet lovers
Context triple: [Kiosque Peynet, associatedWith, Peynet lovers]
  • A. Peynet lovers chosen
    Peynet lovers are a famous romantic cartoon couple created by French illustrator Raymond Peynet, often depicted as a tender, whimsical pair symbolizing enduring love.
  • B. Persenet
    Persenet was an ancient Egyptian queen of the 4th Dynasty, known primarily as a consort of Pharaoh Menkaure.
  • C. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • D. Peney-Dessous
    Peney-Dessous is a small village in the municipality of Satigny in the canton of Geneva, Switzerland.
  • E. Gourmandises
    Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbece30888190936853740ff6cb02 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653b6ae48190ab5c7e6bf2dcfa6f completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.