Triple

T14902898
Position Surface form Disambiguated ID Type / Status
Subject Kembs E360050 entity
Predicate hasMayor P185 FINISHED
Object Marie‑Catherine Metzker
Marie‑Catherine Metzker is a French local politician serving as the mayor of the commune of Kembs in northeastern France.
E1136624 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: Marie‑Catherine Metzker | Statement: [Kembs, hasMayor, Marie‑Catherine Metzker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie‑Catherine Metzker
Context triple: [Kembs, hasMayor, Marie‑Catherine Metzker]
  • A. Marie Janson
    Marie Janson was a pioneering Belgian socialist politician, known as the first woman to serve in the Belgian Senate.
  • B. Mathilde Comont
    Mathilde Comont was a French-born character actress of the silent and early sound film era, known for her expressive performances in both European and Hollywood productions.
  • C. Marie Lephaille
    Marie Lephaille is best known as the wife of prominent French politician and former President of the European Commission Jacques Delors.
  • D. Mathilde Seigner
    Mathilde Seigner is a French actress known for her work in contemporary French cinema, often portraying strong, down-to-earth female characters.
  • E. Marie Pillet
    Marie Pillet was a French actress and activist, best known to many as the mother of filmmaker and actress Julie Delpy.
  • 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: Marie‑Catherine Metzker
Triple: [Kembs, hasMayor, Marie‑Catherine Metzker]
Generated description
Marie‑Catherine Metzker is a French local politician serving as the mayor of the commune of Kembs in northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marie‑Catherine Metzker
Target entity description: Marie‑Catherine Metzker is a French local politician serving as the mayor of the commune of Kembs in northeastern France.
  • A. Marie Janson
    Marie Janson was a pioneering Belgian socialist politician, known as the first woman to serve in the Belgian Senate.
  • B. Mathilde Comont
    Mathilde Comont was a French-born character actress of the silent and early sound film era, known for her expressive performances in both European and Hollywood productions.
  • C. Marie Lephaille
    Marie Lephaille is best known as the wife of prominent French politician and former President of the European Commission Jacques Delors.
  • D. Mathilde Seigner
    Mathilde Seigner is a French actress known for her work in contemporary French cinema, often portraying strong, down-to-earth female characters.
  • E. Marie Pillet
    Marie Pillet was a French actress and activist, best known to many as the mother of filmmaker and actress Julie Delpy.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae005644819098937cedb53202c5 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaed6acc881909a70376ea3805935 completed May 9, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69feb014d9108190b7417f0b3c1838f5 completed May 9, 2026, 3:55 a.m.
Created at: April 10, 2026, 2:11 a.m.