Triple

T15806738
Position Surface form Disambiguated ID Type / Status
Subject Margie Willett E383235 entity
Predicate givenName P17 FINISHED
Object Margie 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: Margie | Statement: [Margie Willett, givenName, Margie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margie
Context triple: [Margie Willett, givenName, Margie]
  • A. Margi
    Margi are an ethnic group native to northeastern Nigeria, particularly in and around Adamawa State, known for their distinct language and cultural traditions.
  • B. Bobbie
    Bobbie is a character in the 1971 drama film "Carnal Knowledge," which explores the evolving sexual and emotional relationships of two college friends over several decades.
  • C. Bobbie
    Bobbie is the nickname of Bobbie Rosenfeld, a celebrated Canadian track and field athlete and Olympic gold medalist.
  • D. Melva
    Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
  • E. Marjorie chosen
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52751348190964e82463ce9dd20 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998fa5588190b28efc2f342405aa completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.