Triple

T22952677
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Schepisi E570061 entity
Predicate notableWork P4 FINISHED
Object MDA 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: MDA | Statement: [Alexandra Schepisi, notableWork, MDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MDA
Context triple: [Alexandra Schepisi, notableWork, MDA]
  • A. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • B. MDA
    MDA is a Canadian space technology company known for developing advanced satellite systems, robotics, and Earth observation solutions.
  • C. MDA
    MDA (Model-Driven Architecture) is a software design approach that emphasizes creating and transforming high-level platform-independent models into platform-specific implementations, standardized by the Object Management Group.
  • D. MDA chosen
    MDA is an Australian television drama series in which Helen Morse played a significant role.
  • E. MDA
    MDA refers to the Skylab Multiple Docking Adapter, a key module of NASA’s Skylab space station that enabled docking and supported experiments and crew operations in orbit.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a34c30819099ff4812500a0991 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.