Triple

T21935147
Position Surface form Disambiguated ID Type / Status
Subject Care Talk E541667 entity
Predicate hasAuthor P4244 FINISHED
Object Nancy Folbre 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: Nancy Folbre | Statement: [Care Talk, hasAuthor, Nancy Folbre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Folbre
Context triple: [Care Talk, hasAuthor, Nancy Folbre]
  • A. Nancy Folbre chosen
    Nancy Folbre is an American feminist economist known for her influential work on the economics of care, gender, and the family.
  • B. Nancy Fraser
    Nancy Fraser is an American critical theorist and feminist philosopher known for her influential work on social justice, redistribution and recognition, and critiques of contemporary capitalism and democracy.
  • C. Cynthia Enloe
    Cynthia Enloe is a prominent feminist scholar and writer best known for her influential work on gender, militarism, and international politics.
  • D. Sara Lawrence-Lightfoot
    Sara Lawrence-Lightfoot is an American sociologist and Harvard professor renowned for her work on education, race, and the culture of schools.
  • E. Rachel E. Kranton
    Rachel E. Kranton is an economist known for her influential work on identity and its role in economic behavior and institutions.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124048fe48190987340d5a6945176 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:51 p.m.