Triple

T9459140
Position Surface form Disambiguated ID Type / Status
Subject Flowers for Algernon E228095 entity
Predicate openingLineFeature P829 FINISHED
Object deliberate spelling and grammar errors LITERAL 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: deliberate spelling and grammar errors | Statement: [Flowers for Algernon, openingLineFeature, deliberate spelling and grammar errors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openingLineFeature
Context triple: [Flowers for Algernon, openingLineFeature, deliberate spelling and grammar errors]
  • A. openingLine chosen
    Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
  • B. openedFirstLine
    Indicates that one entity initiated the opening of something (e.g., a file, document, or interface) before any other entity did, being the first to perform the opening action.
  • C. originalLineOpened
    Indicates that a transportation or service line began its initial operation or was first opened for use.
  • D. firstLineOpened
    Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
  • E. openingElement
    Indicates that one entity serves as the initial or starting element within a structured sequence, group, or construct in relation to another.
  • F. None of above.

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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fc916348190aeb3874a89071677 completed April 1, 2026, 8:27 p.m.
PD Predicate disambiguation batch_69cca55caaa8819089c5138e014892d3 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:52 p.m.