Triple

T14588602
Position Surface form Disambiguated ID Type / Status
Subject Jaleesa Vinson E342383 entity
Predicate setting P1957 FINISHED
Object Hillman College E340785 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: Hillman College | Statement: [Jaleesa Vinson, setting, Hillman College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hillman College
Context triple: [Jaleesa Vinson, setting, Hillman College]
  • A. Hillman College chosen
    Hillman College is the fictional historically Black college featured in the television series "A Different World."
  • B. Fairmount College
    Fairmount College was the original private liberal arts institution that later evolved into Wichita State University in Wichita, Kansas.
  • C. Beaver College
    Beaver College was a private liberal arts institution in Pennsylvania that later became Arcadia University.
  • D. Hillyer College
    Hillyer College was a former independent institution of higher education that became one of the founding components of the University of Hartford.
  • E. Five Towns College
    Five Towns College is a private college on Long Island known for its programs in music, media, and the performing arts.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf074410081909284345503eb3e9f completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:24 a.m.