Triple

T3124407
Position Surface form Disambiguated ID Type / Status
Subject Édith Cresson E65261 entity
Predicate familyName P18 FINISHED
Object Cresson
Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
 E331030 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: Cresson | Statement: [Édith Cresson, familyName, Cresson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cresson
Context triple: [Édith Cresson, familyName, Cresson]
  • A. Eisenstadt
    Eisenstadt is the small capital city of the Austrian state of Burgenland, known for its historic connection to composer Joseph Haydn and the Esterházy family.
  • B. Ambler
    Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
  • C. Lastoursville
    Lastoursville is a town in central Gabon known as a regional hub along the Trans-Gabon Railway and for its nearby cave systems and karst landscapes.
  • D. Newburgh
    Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
  • E. Newburgh
    Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
  • 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: Cresson
Triple: [Édith Cresson, familyName, Cresson]
Generated description
Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cresson
Target entity description: Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • A. Eisenstadt
    Eisenstadt is the small capital city of the Austrian state of Burgenland, known for its historic connection to composer Joseph Haydn and the Esterházy family.
  • B. Ambler
    Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
  • C. Lastoursville
    Lastoursville is a town in central Gabon known as a regional hub along the Trans-Gabon Railway and for its nearby cave systems and karst landscapes.
  • D. Newburgh
    Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
  • E. Newburgh
    Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52d856c8190a5d65b8a6452be21 completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224d42fc4819095a0f6aec59db2c1 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b225896c4c81909e875a2d357e7bc5 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225fef06081908dcd8201def1ad95 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:04 p.m.