Triple

T12405263
Position Surface form Disambiguated ID Type / Status
Subject Miss Read E296367 entity
Predicate activeAsWriterFrom P104966 FINISHED
Object 1950s 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: 1950s | Statement: [Miss Read, activeAsWriterFrom, 1950s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: activeAsWriterFrom
Context triple: [Miss Read, activeAsWriterFrom, 1950s]
  • A. primaryWriter
    Indicates that one entity serves as the main or lead author responsible for creating or composing another entity.
  • B. likelyWrittenFrom
    Indicates that something (such as a text, statement, or perspective) is probably authored or expressed from the viewpoint, context, or position of a particular entity.
  • C. usedToWrite
    Indicates that one entity served as a tool, medium, or instrument that another entity employed to perform the act of writing.
  • D. writtenDuring
    Indicates that the creation or authorship of something took place within a specified time period or historical event.
  • E. hasWrittenFor
    Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
  • F. None of above. chosen

Provenance (4 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e1888b48190bd750f839a26e99e completed April 10, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69d94d354b488190adc83fb4f2770dd5 completed April 10, 2026, 7:19 p.m.
PDg Predicate description generation batch_69d94e15f21c8190831c9562ffdd4fda completed April 10, 2026, 7:23 p.m.
Created at: April 8, 2026, 9:55 p.m.