Triple

T13607312
Position Surface form Disambiguated ID Type / Status
Subject Libération E325096 entity
Predicate nickname P55 FINISHED
Object Libé
Libé is the common nickname for Libération, a prominent French daily newspaper known for its left-leaning, progressive editorial stance.
 E1051943 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: Libé | Statement: [Libération, nickname, Libé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Libé
Context triple: [Libération, nickname, Libé]
  • A. Debré
    Debré is a notable French surname associated with several prominent figures in politics, medicine, and public life in France.
  • B. Rasoun
    Rasoun is a small town in northern Jordan located within the hilly, forested region of Ajloun Governorate.
  • C. Franca
    Franca is a city in the northeastern part of the Brazilian state of São Paulo, known historically for its leather and footwear industry.
  • D. Laïty
    Laïty is a personal given name, notably borne by the Senegalese footballer Laïty Kama.
  • E. Bazile
    Bazile is the French surname of the 19th–20th century socialist leader and journalist Jules Guesde.
  • 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: Libé
Triple: [Libération, nickname, Libé]
Generated description
Libé is the common nickname for Libération, a prominent French daily newspaper known for its left-leaning, progressive editorial stance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Libé
Target entity description: Libé is the common nickname for Libération, a prominent French daily newspaper known for its left-leaning, progressive editorial stance.
  • A. Debré
    Debré is a notable French surname associated with several prominent figures in politics, medicine, and public life in France.
  • B. Rasoun
    Rasoun is a small town in northern Jordan located within the hilly, forested region of Ajloun Governorate.
  • C. Franca
    Franca is a city in the northeastern part of the Brazilian state of São Paulo, known historically for its leather and footwear industry.
  • D. Laïty
    Laïty is a personal given name, notably borne by the Senegalese footballer Laïty Kama.
  • E. Bazile
    Bazile is the French surname of the 19th–20th century socialist leader and journalist Jules Guesde.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f96280881908bab3af5c80f6d55 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f780850ffc8190b41b3ff7ca35494f completed May 3, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69f7849416b88190a0ef9d3e26e7b129 completed May 3, 2026, 5:23 p.m.
Created at: April 9, 2026, 9:50 p.m.