Triple

T19077627
Position Surface form Disambiguated ID Type / Status
Subject Edmond Thieffry E466944 entity
Predicate workedFor P1910 FINISHED
Object Sabena NE NERFINISHED

How this triple was built (2 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: Sabena | Statement: [Edmond Thieffry, workedFor, Sabena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabena
Context triple: [Edmond Thieffry, workedFor, Sabena]
  • A. Sabena chosen
    Sabena was the former national airline of Belgium, operating international passenger and cargo services from 1923 until its bankruptcy in 2001.
  • B. Belgian Air Service
    The Belgian Air Service was the military aviation branch of Belgium during World War I, operating fighter and reconnaissance aircraft on the Western Front.
  • C. Brussels Airlines
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • D. Martinair
    Martinair is a Dutch airline based in the Netherlands that operates both cargo and charter passenger services, historically linked to KLM.
  • E. Brussels Airport Company
    Brussels Airport Company is the organization responsible for managing and operating Brussels Airport, one of Belgium’s main international air transport hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e5591081908a4f8e4b2011b408 completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.