Triple

T18822742
Position Surface form Disambiguated ID Type / Status
Subject Marion Ruth Hartung Coase E460303 entity
Predicate givenName P17 FINISHED
Object Marion 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: Marion | Statement: [Marion Ruth Hartung Coase, givenName, Marion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion
Context triple: [Marion Ruth Hartung Coase, givenName, Marion]
  • A. Marion chosen
    Marion is a given name used for people of any gender in various cultures, often as a variant of Mary or Marian.
  • B. Marion
    Marion is a neighborhood or village within the town of Southington, Connecticut, known as one of its local residential communities.
  • C. Marion
    Marion is a small historic city in central Alabama known for its role in the civil rights movement and as the home of several longstanding educational institutions.
  • D. Marion
    Marion is a small town located in Guadalupe County in the U.S. state of Texas.
  • E. Marion
    Marion is a fictional character appearing in the satirical soap-opera sketch series "As the Stomach Turns" from The Carol Burnett Show.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bbc7148190819252071a765975 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.