Triple

T17498373
Position Surface form Disambiguated ID Type / Status
Subject Prudent Beaudry E426130 entity
Predicate familyName P18 FINISHED
Object Beaudry
Beaudry is a French-origin surname notably borne by Prudent Beaudry, a 19th-century mayor of Los Angeles.
E1272503 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: Beaudry | Statement: [Prudent Beaudry, familyName, Beaudry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaudry
Context triple: [Prudent Beaudry, familyName, Beaudry]
  • A. Beauvier
    Beauvier is the surname of Sister Aloysius, the strict and suspicious Catholic school principal in John Patrick Shanley’s play and film "Doubt."
  • B. Temple-Beaudry
    Temple-Beaudry is a neighborhood in Central Los Angeles known for its dense urban character and proximity to downtown.
  • C. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • D. Blais
    Blais is a variant form of the given name Blaise, used as both a surname and a first name in French-speaking and other cultures.
  • E. Vallière
    Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura 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: Beaudry
Triple: [Prudent Beaudry, familyName, Beaudry]
Generated description
Beaudry is a French-origin surname notably borne by Prudent Beaudry, a 19th-century mayor of Los Angeles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beaudry
Target entity description: Beaudry is a French-origin surname notably borne by Prudent Beaudry, a 19th-century mayor of Los Angeles.
  • A. Beauvier
    Beauvier is the surname of Sister Aloysius, the strict and suspicious Catholic school principal in John Patrick Shanley’s play and film "Doubt."
  • B. Temple-Beaudry
    Temple-Beaudry is a neighborhood in Central Los Angeles known for its dense urban character and proximity to downtown.
  • C. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • D. Blais
    Blais is a variant form of the given name Blaise, used as both a surname and a first name in French-speaking and other cultures.
  • E. Vallière
    Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c2067774819089728021aef5f967 completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c36b06dc81909f52cbe1c57eb128 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c41859008190b786bdc2c09f24d1 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:48 a.m.