Triple

T21260177
Position Surface form Disambiguated ID Type / Status
Subject Alice Gast E523976 entity
Predicate employer P7 FINISHED
Object Lehigh University 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: Lehigh University | Statement: [Alice Gast, employer, Lehigh University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lehigh University
Context triple: [Alice Gast, employer, Lehigh University]
  • A. Lehigh University chosen
    Lehigh University is a private research university in Bethlehem, Pennsylvania, known for its strong engineering, business, and interdisciplinary programs and its participation in NCAA Division I athletics.
  • B. Lafayette College
    Lafayette College is a private liberal arts college in Easton, Pennsylvania, known for its strong undergraduate programs and historic campus.
  • C. Bucknell University
    Bucknell University is a private liberal arts university in Lewisburg, Pennsylvania, known for its strong undergraduate programs and historic campus.
  • D. Bucknell
    Bucknell is a small village and civil parish in Shropshire, England, known for its rural setting near the Welsh border.
  • E. University of Delaware
    The University of Delaware is a public research university in Newark, Delaware, known for its strong programs in fields such as engineering, business, and public policy and for being the undergraduate institution of U.S. President Joe Biden.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e53df88190bd6024793a0ada08 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.