Triple

T12170953
Position Surface form Disambiguated ID Type / Status
Subject Lindsay Crouse E289960 entity
Predicate hasFamilyRelation P7844 FINISHED
Object Anna Crouse E1020651 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: Anna Crouse | Statement: [Lindsay Crouse, hasFamilyRelation, Anna Crouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Crouse
Context triple: [Lindsay Crouse, hasFamilyRelation, Anna Crouse]
  • A. Anna Crouse chosen
    Anna Crouse is a notable member of the prominent Lindsay and Crouse family, recognized for her connection to this influential lineage.
  • B. Therese Larimore
    Therese Larimore is a character appearing in the horror anthology film "Trilogy of Terror."
  • C. Claire Seymour
    Claire Seymour was the wife of American engineer Willis Carrier, the inventor widely credited with creating modern air conditioning.
  • D. Sarah Winston
    Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
  • E. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eac128408190a29b4f8a6e1240dd completed May 3, 2026, 6:27 a.m.
Created at: April 8, 2026, 9:50 p.m.