Triple

T9073393
Position Surface form Disambiguated ID Type / Status
Subject GEM (Graphics Environment Manager) E217422 entity
Predicate writtenIn P12727 FINISHED
Object C E9269 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: C | Statement: [GEM (Graphics Environment Manager), writtenIn, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [GEM (Graphics Environment Manager), writtenIn, C]
  • A. C
    C is a local service on the New York City Subway that runs along the Eighth Avenue Line in Manhattan and continues through Brooklyn.
  • B. C
    C is a light rail service designation used by the Los Angeles Metro system for one of its primary rail lines.
  • C. C
    C is one of the three central women in Edward Albee’s play "Three Tall Women," representing a younger stage of the protagonist’s life and perspective.
  • D. C
    C is the standard scholarly siglum for Codex Ephraemi Rescriptus, a 5th-century Greek biblical manuscript and palimpsest containing portions of the Old and New Testaments.
  • E. C chosen
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc956111dc8190a25cefe68fd6a949 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdf72e74819086f576a4b2532387 completed April 3, 2026, 5:50 p.m.
Created at: March 30, 2026, 7:12 p.m.