Triple

T6094879
Position Surface form Disambiguated ID Type / Status
Subject Peter de la Billière E135851 entity
Predicate commanded P2333 FINISHED
Object SAS Group
SAS Group is a British special forces unit renowned for its elite soldiers and covert military operations.
 E568457 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: SAS Group | Statement: [Peter de la Billière, commanded, SAS Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAS Group
Context triple: [Peter de la Billière, commanded, SAS Group]
  • A. SAS Group
    SAS Group is a Scandinavian airline holding company that operates Scandinavian Airlines and related aviation businesses across Northern Europe.
  • B. SAS Ireland
    SAS Ireland is an Irish-based airline subsidiary of Scandinavian Airlines (SAS) that operates flights within Europe as part of the Star Alliance network.
  • C. Sage Group
    Sage Group is a British multinational enterprise software company best known for its accounting, payroll, and business management solutions for small and medium-sized businesses.
  • D. Groupe ADP
    Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
  • E. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • 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: SAS Group
Triple: [Peter de la Billière, commanded, SAS Group]
Generated description
SAS Group is a British special forces unit renowned for its elite soldiers and covert military operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAS Group
Target entity description: SAS Group is a British special forces unit renowned for its elite soldiers and covert military operations.
  • A. SAS Group
    SAS Group is a Scandinavian airline holding company that operates Scandinavian Airlines and related aviation businesses across Northern Europe.
  • B. SAS Ireland
    SAS Ireland is an Irish-based airline subsidiary of Scandinavian Airlines (SAS) that operates flights within Europe as part of the Star Alliance network.
  • C. Sage Group
    Sage Group is a British multinational enterprise software company best known for its accounting, payroll, and business management solutions for small and medium-sized businesses.
  • D. Groupe ADP
    Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
  • E. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a963bac8190bc0c33fef187875c completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1253b2cb48190be682e9184cf4f5d completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c126ee1d408190b8efa4a8d5b658e0 completed March 23, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69c12787753c8190ab6c49ebd0dcac41 completed March 23, 2026, 11:44 a.m.
Created at: March 22, 2026, 4:12 p.m.