Triple

T12436373
Position Surface form Disambiguated ID Type / Status
Subject Anne Hidalgo E297152 entity
Predicate instagramUsername P3718 FINISHED
Object annehidalgo
annehidalgo is the official Instagram account of Anne Hidalgo, the French politician and mayor of Paris.
 E983094 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: annehidalgo | Statement: [Anne Hidalgo, instagramUsername, annehidalgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: annehidalgo
Context triple: [Anne Hidalgo, instagramUsername, annehidalgo]
  • A. Amparo
    Amparo is a municipality in the interior of Brazil known for its historical architecture and role in the coffee-producing region of the state of São Paulo.
  • B. Binibeca
    Binibeca is a picturesque coastal village on the Spanish island of Menorca, known for its whitewashed houses, narrow streets, and tranquil Mediterranean atmosphere.
  • C. Calbe
    Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
  • D. Atienza
    Atienza is a historic hilltop town in central Spain known for its medieval castle, Romanesque churches, and well-preserved old quarter.
  • E. Consuela
    Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
  • 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: annehidalgo
Triple: [Anne Hidalgo, instagramUsername, annehidalgo]
Generated description
annehidalgo is the official Instagram account of Anne Hidalgo, the French politician and mayor of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: annehidalgo
Target entity description: annehidalgo is the official Instagram account of Anne Hidalgo, the French politician and mayor of Paris.
  • A. Amparo
    Amparo is a municipality in the interior of Brazil known for its historical architecture and role in the coffee-producing region of the state of São Paulo.
  • B. Binibeca
    Binibeca is a picturesque coastal village on the Spanish island of Menorca, known for its whitewashed houses, narrow streets, and tranquil Mediterranean atmosphere.
  • C. Calbe
    Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
  • D. Atienza
    Atienza is a historic hilltop town in central Spain known for its medieval castle, Romanesque churches, and well-preserved old quarter.
  • E. Consuela
    Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f06d16481909ed2eb5195ebd7e4 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6400fe9888190ae8244ccc8e8bc39 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f6416d02008190a9e36658d7194787 completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:55 p.m.