Triple

T19968153
Position Surface form Disambiguated ID Type / Status
Subject Louise Platt E479996 entity
Predicate name P16 FINISHED
Object Louise 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: Louise Platt | Statement: [Louise Platt, name, Louise Platt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Platt
Context triple: [Louise Platt, name, Louise Platt]
  • A. Louise Platt chosen
    Louise Platt was an American stage, film, and television actress best remembered for her role in John Ford’s classic Western film "Stagecoach."
  • B. Louise Nicholl
    Louise Nicholl is a notable individual recognized for bearing the surname Nicholl.
  • C. Lorraine Broughton
    Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
  • D. Carol Partridge
    Carol Partridge is a fictional character known primarily as the wife of inept British broadcaster Alan Partridge in the Alan Partridge comedy universe.
  • E. Anne Aylett
    Anne Aylett was the wife of American statesman and Declaration of Independence signer Richard Henry Lee, belonging to a prominent colonial Virginia family.
  • 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.