Triple

T19968155
Position Surface form Disambiguated ID Type / Status
Subject Louise Platt E479996 entity
Predicate familyName P18 FINISHED
Object Platt NE NERFINISHED

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: Platt | Statement: [Louise Platt, familyName, Platt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Platt
Context triple: [Louise Platt, familyName, Platt]
  • A. Platt
    Platt is a minor character in the play "Inherit the Wind," which dramatizes the famous Scopes "Monkey" Trial and explores the conflict between religious fundamentalism and the teaching of evolution.
  • B. Platt chosen
    Platt is a village in Kent, England, situated near Borough Green and known for its rural character and local community amenities.
  • C. Plattner
    Plattner is a German surname most prominently associated with Hasso Plattner, the billionaire co-founder of the software company SAP.
  • D. Plunkett
    Plunkett is an Irish-origin surname borne by numerous notable figures in politics, the arts, and public life.
  • E. Paltzig
    Paltzig is a village in western Poland historically known as the site of an important battle during the Seven Years' War.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc6b0208190b1ae30be95712326 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.