Triple

T1059631
Position Surface form Disambiguated ID Type / Status
Subject Curtis E22875 entity
Predicate spellingStandardized P8032 FINISHED
Object in Middle English period 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: in Middle English period | Statement: [Curtis, spellingStandardized, in Middle English period]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spellingStandardized
Context triple: [Curtis, spellingStandardized, in Middle English period]
  • A. hasStandardOrthographySince
    Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
  • B. languageStandard
    Indicates that one entity conforms to, is defined by, or is governed by the language rules, specifications, or conventions established by another entity as a standard.
  • C. hasStandardPronunciationBasedOn
    Indicates that one entity’s standard or canonical pronunciation is determined or derived from another entity’s pronunciation.
  • D. standardizedFor chosen
    Indicates that something has been adjusted or converted to conform to a common standard, format, or reference so it can be consistently compared or used.
  • E. hasVariantSpelling
    Indicates that one term is an alternative spelling form of another term.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4ba6e35ac8190802341c31bda0e3b completed March 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69a4b7340a048190807363f19d17a58f completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.