Triple

T17850118
Position Surface form Disambiguated ID Type / Status
Subject Marie-Gabrielle Capet E445777 entity
Predicate familyName P18 FINISHED
Object Capet
Capet is a French surname historically associated with the royal Capetian dynasty and borne by various notable figures in French history and culture.
 E591596 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: Capet | Statement: [Marie-Gabrielle Capet, familyName, Capet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Capet
Context triple: [Marie-Gabrielle Capet, familyName, Capet]
  • A. Capet
    Capet is the dynastic surname of the medieval French royal house that began with Hugh Capet and ruled France for centuries.
  • B. Valois
    Valois was a prominent French royal dynasty that ruled France during the late Middle Ages and Renaissance, succeeding the Capetians and preceding the Bourbons.
  • C. Sabaudia
    Sabaudia is a coastal town in the Lazio region of central Italy, known for its rationalist architecture and long sandy beaches along the Tyrrhenian Sea.
  • D. Parmain
    Parmain is a commune in the Val-d'Oise department in northern France, situated in the suburbs of Paris.
  • E. Perche Vendômois
    Perche Vendômois is a rural historical and natural region in central France known for its rolling landscapes, small villages, and cultural heritage within the Loir-et-Cher department.
  • 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: Capet
Triple: [Marie-Gabrielle Capet, familyName, Capet]
Generated description
Capet is a French surname historically associated with the royal Capetian dynasty and borne by various notable figures in French history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Capet
Target entity description: Capet is a French surname historically associated with the royal Capetian dynasty and borne by various notable figures in French history and culture.
  • A. Capet chosen
    Capet is the dynastic surname of the medieval French royal house that began with Hugh Capet and ruled France for centuries.
  • B. Valois
    Valois was a prominent French royal dynasty that ruled France during the late Middle Ages and Renaissance, succeeding the Capetians and preceding the Bourbons.
  • C. Sabaudia
    Sabaudia is a coastal town in the Lazio region of central Italy, known for its rationalist architecture and long sandy beaches along the Tyrrhenian Sea.
  • D. Parmain
    Parmain is a commune in the Val-d'Oise department in northern France, situated in the suburbs of Paris.
  • E. Perche Vendômois
    Perche Vendômois is a rural historical and natural region in central France known for its rolling landscapes, small villages, and cultural heritage within the Loir-et-Cher department.
  • F. None of above.

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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffe415c8190aed351c52b78a143 completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c5c53b88190bd641a310ad29923 completed May 12, 2026, 11:17 a.m.
NEDg Description generation batch_6a030d22013c8190801475da925e0ab9 completed May 12, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a030dd233208190b7af976e68e4296c completed May 12, 2026, 11:24 a.m.
Created at: April 10, 2026, 10:16 a.m.