Triple

T3093779
Position Surface form Disambiguated ID Type / Status
Subject Patrick Drahi E64543 entity
Predicate acquired P2511 FINISHED
Object SFR
SFR is a major French telecommunications company providing mobile, internet, and television services.
 E326752 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: SFR | Statement: [Patrick Drahi, acquired, SFR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFR
Context triple: [Patrick Drahi, acquired, SFR]
  • A. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • B. SFS
    SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • C. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • D. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • E. SHF
    SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • 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: SFR
Triple: [Patrick Drahi, acquired, SFR]
Generated description
SFR is a major French telecommunications company providing mobile, internet, and television services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFR
Target entity description: SFR is a major French telecommunications company providing mobile, internet, and television services.
  • A. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • B. SFS
    SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • C. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • D. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • E. SHF
    SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23876a4819095bfc28640d8c200 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20370aba48190a31ec25bca0a4727 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2046f76488190adef6685544b080e completed March 12, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69b2054bca388190ad40b2303ac96373 completed March 12, 2026, 12:14 a.m.
Created at: March 8, 2026, 3:03 p.m.