Triple

T3355818
Position Surface form Disambiguated ID Type / Status
Subject Marjorie Merriweather Post E70602 entity
Predicate givenName P17 FINISHED
Object Marjorie E235982 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: Marjorie | Statement: [Marjorie Merriweather Post, givenName, Marjorie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjorie
Context triple: [Marjorie Merriweather Post, givenName, Marjorie]
  • A. Marjorie chosen
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • B. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • C. Geraldine
    Geraldine is a small rural service town in the South Island of New Zealand, known for its scenic surroundings and role as a gateway to the Canterbury high country.
  • D. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • E. Mabel Vernon
    Mabel Vernon was an American suffragist and political organizer who played a leading role in the militant wing of the U.S. women’s suffrage movement and later in peace activism.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2419a808190a54fc03eeec6e42d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3545cd3508190b3bb81de6feae66e completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:13 p.m.