Triple

T15320591
Position Surface form Disambiguated ID Type / Status
Subject Victor Graham E366277 entity
Predicate hasCondition P1255 FINISHED
Object Asperger's syndrome E5326 NE FINISHED

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: Asperger's syndrome | Statement: [Victor Graham, hasCondition, Asperger's syndrome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asperger's syndrome
Context triple: [Victor Graham, hasCondition, Asperger's syndrome]
  • A. Asperger syndrome chosen
    Asperger syndrome is a neurodevelopmental condition on the autism spectrum characterized by difficulties in social interaction and communication alongside focused interests and often average or above-average intelligence.
  • B. ASD
    ASD is the IATA airport code for Andros Town International Airport, a public airport serving Andros Island in the Bahamas.
  • C. ASD
    ASD is the official railway station code used to identify Amsterdam Centraal station in the Netherlands.
  • D. ASD
    ASD is the Australian Signals Directorate, Australia’s national authority for signals intelligence, cyber security, and offensive cyber operations.
  • E. Tourette syndrome
    Tourette syndrome is a neurological disorder characterized by involuntary motor and vocal tics, often beginning in childhood and varying in severity over time.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd460288190b5c41f0a0aeee949 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a9085881909904152c32b0fed1 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.