Triple

T507445
Position Surface form Disambiguated ID Type / Status
Subject Albert E10531 entity
Predicate isCognateWith P2527 FINISHED
Object Aubert
Aubert is a French given name and surname of Germanic origin, historically associated with medieval nobility and Christian saints.
 E71764 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: Aubert | Statement: [Albert, isCognateWith, Aubert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aubert
Context triple: [Albert, isCognateWith, Aubert]
  • A. Honoré
    Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
  • B. Stephen Sauvestre
    Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
  • C. Alphonse
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. Hilaire
    Hilaire is a given name associated with the French Impressionist artist Edgar Degas, whose full name was Hilaire-Germain-Edgar Degas.
  • 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: Aubert
Triple: [Albert, isCognateWith, Aubert]
Generated description
Aubert is a French given name and surname of Germanic origin, historically associated with medieval nobility and Christian saints.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aubert
Target entity description: Aubert is a French given name and surname of Germanic origin, historically associated with medieval nobility and Christian saints.
  • A. Honoré
    Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
  • B. Stephen Sauvestre
    Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
  • C. Alphonse
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. Hilaire
    Hilaire is a given name associated with the French Impressionist artist Edgar Degas, whose full name was Hilaire-Germain-Edgar Degas.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14dcd688190ad47a3b31b95b6d4 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff465c2c819083d63547a4d0572a completed March 2, 2026, 3:08 a.m.
NEDg Description generation batch_69a4ffe76c6c8190b3ca3137f73d13fd completed March 2, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_69a5004013148190b8c8ee14ca4e12ce completed March 2, 2026, 3:13 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.