Triple

T16130585
Position Surface form Disambiguated ID Type / Status
Subject Mary Haas E391384 entity
Predicate educatedAt P5 FINISHED
Object Earlham College E308024 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: Earlham College | Statement: [Mary Haas, educatedAt, Earlham College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earlham College
Context triple: [Mary Haas, educatedAt, Earlham College]
  • A. Earlham College chosen
    Earlham College is a small private liberal arts college in Richmond, Indiana, known for its Quaker heritage and strong emphasis on social justice and global education.
  • B. Earlham
    Earlham is a small city located in central Iowa, United States.
  • C. Hanover College
    Hanover College is a private liberal arts college in Hanover, Indiana, known for its historic campus and undergraduate-focused education.
  • D. DePauw University
    DePauw University is a private liberal arts college in Greencastle, Indiana, known for its strong undergraduate programs and emphasis on close student-faculty engagement.
  • E. Antioch College
    Antioch College is a small, historically progressive liberal arts college in Yellow Springs, Ohio, known for its emphasis on social justice, experiential learning, and cooperative education.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020829e88190b51ab32d22cf0259 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2aff07c8190bf693f652e2a2808 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.