Triple

T35819718
Position Surface form Disambiguated ID Type / Status
Subject Les Blancs E1035461 entity
Predicate co-adapter P184156 FINISHED
Object Robert Nemiroff 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: Robert Nemiroff | Statement: [Les Blancs, co-adapter, Robert Nemiroff]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: co-adapter
Context triple: [Les Blancs, co-adapter, Robert Nemiroff]
  • A. compatibleViaAdapterWith
    Indicates that two entities, which are not directly compatible, can function together when connected through a specific adapter.
  • B. adaptsBy
    Indicates that one entity changes, modifies, or adjusts itself, its behavior, or its form as a result of influence, guidance, or transformation performed by another entity.
  • C. officialAdapterFor
    Indicates that one entity serves as the formally designated adapter or intermediary component for another entity.
  • D. adaptsFrom
    Indicates that one entity is derived, modified, or transformed from another, preserving core elements while changing form, medium, or context.
  • E. adapterMustProvide
    Indicates that an adapter is required to supply or implement a specified functionality, interface, or service.
  • F. None of above. chosen

Provenance (4 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_69f76e185ffc8190880b3cdf51decd38 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aaabb58c8190bf81673608ecfb6e completed May 3, 2026, 8:06 p.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
PDg Predicate description generation batch_69f7aa6795f481908940838ee7041ff5 completed May 3, 2026, 8:04 p.m.
Created at: May 3, 2026, 4:06 p.m.