Triple

T2035684
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Institute of Technology E44620 entity
Predicate hasBenefactor P10151 FINISHED
Object Maria Stata E44620 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: Maria Stata | Statement: [Massachusetts Institute of Technology, hasBenefactor, Maria Stata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Stata
Context triple: [Massachusetts Institute of Technology, hasBenefactor, Maria Stata]
  • A. Maria Stata chosen
    Maria Stata is the namesake of MIT’s Stata Center, recognized for her association with and philanthropic support of the Massachusetts Institute of Technology.
  • B. Virginia Katherine McMath
    Virginia Katherine McMath, better known as Ginger Rogers, was an American actress, singer, and dancer famed for her iconic film musicals with Fred Astaire during Hollywood’s Golden Age.
  • C. Virginia Katz
    Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
  • D. Carol Stevens
    Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
  • E. Mary Grace Slattery
    Mary Grace Slattery was the first wife of American playwright Arthur Miller, whom he married before achieving his major theatrical success.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb934ff948190acd88d4f587463a4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2710f6408190b7feb99efa7ce9bb completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:39 p.m.