Triple

T8538217
Position Surface form Disambiguated ID Type / Status
Subject Middle of Nowhere E202129 entity
Predicate featuresCharacter P626 FINISHED
Object Ruby unclear NED1 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: Ruby | Statement: [Middle of Nowhere, featuresCharacter, Ruby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby
Context triple: [Middle of Nowhere, featuresCharacter, Ruby]
  • A. Ruby
    Ruby is the titular woman in the country song "Ruby, Don’t Take Your Love to Town," known for contemplating leaving her disabled veteran husband for another man.
  • B. Ruby
    Ruby is a translucent deep-red color used as one of the signature case options for Apple’s original iMac G3 computers.
  • C. Ruby
    Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
  • D. Ruby
    Ruby is a feminine given name derived from the precious red gemstone, often associated with vitality, love, and elegance.
  • E. Ruby
    Ruby is a central character in August Wilson’s play "King Hedley II," depicted as a complex, resilient woman whose past choices and strained family relationships drive much of the drama’s emotional conflict.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a5c2848190836c612597de83b7 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d953fd0819094958d2b5a5a8e13 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:18 p.m.