Triple

T10076287
Position Surface form Disambiguated ID Type / Status
Subject Audrey Bilger E213767 entity
Predicate employer P7 FINISHED
Object Reed College E14896 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: Reed College | Statement: [Audrey Bilger, employer, Reed College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reed College
Context triple: [Audrey Bilger, employer, Reed College]
  • A. Reed College chosen
    Reed College is a small, highly selective liberal arts college known for its rigorous academics, strong emphasis on independent scholarship, and distinctive intellectual culture.
  • B. Lewis & Clark College
    Lewis & Clark College is a private liberal arts college known for its strong undergraduate programs and scenic wooded campus in Portland, Oregon.
  • C. University of Oregon
    The University of Oregon is a public research university in Eugene, Oregon, known for its strong programs in the sciences, humanities, and athletics, particularly its prominent track and field legacy.
  • D. Oregon Institute
    Oregon Institute was the original name of what later became Willamette University, one of the oldest universities in the western United States.
  • E. University of Washington
    The University of Washington is a major public research university in Seattle known for its strong programs in science, engineering, medicine, and public affairs.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ac67cb48190ba53a87c3749a245 completed April 5, 2026, 5:24 p.m.
Created at: March 30, 2026, 8:59 p.m.