Triple

T2980674
Position Surface form Disambiguated ID Type / Status
Subject Reed E80501 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Reade E296365 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: Reade | Statement: [Reed, hasAlternativeSpelling, Reade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reade
Context triple: [Reed, hasAlternativeSpelling, Reade]
  • A. Reade chosen
    Reade is a surname and given name of English origin, historically associated with various notable figures in literature, politics, and public life.
  • B. Nathaniel
    Nathaniel is a masculine given name of Hebrew origin meaning "gift of God," historically borne by various notable figures in literature, science, and religion.
  • C. Carveth Read
    Carveth Read was a British philosopher and logician known for his work on inductive reasoning and the philosophy of science.
  • D. Beale Farange
    Beale Farange is a central figure in Henry James's novel "What Maisie Knew," portrayed as Maisie's selfish and irresponsible father whose bitter divorce and neglect shape her troubled upbringing.
  • E. Booker
    Booker is a prestigious annual literary award given for the best original novel written in English and published in the United Kingdom or Ireland.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999e91788190a2d430dd0600a660 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f27d648190a7a58670fec8b74d completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.