Triple

T21301984
Position Surface form Disambiguated ID Type / Status
Subject Ralph Fine E525088 entity
Predicate namesakeOf P63 FINISHED
Object Fine Hall 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: Fine Hall | Statement: [Ralph Fine, namesakeOf, Fine Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fine Hall
Context triple: [Ralph Fine, namesakeOf, Fine Hall]
  • A. Fine Hall chosen
    Fine Hall is the main mathematics building at Princeton University, renowned as a hub for research and teaching in pure and applied mathematics.
  • B. Tanenbaum Hall
    Tanenbaum Hall is a primary academic and administrative building of the University of Pennsylvania Carey Law School, housing classrooms, offices, and legal research facilities.
  • C. Weill Hall
    Weill Hall is the main concert venue of Sonoma State University’s Green Music Center, known for its exceptional acoustics and world-class classical and contemporary music performances.
  • D. Pforzheimer Hall
    Pforzheimer Hall is a performance and rehearsal venue associated with the Manhattan School of Music in New York City.
  • E. Havemeyer Hall
    Havemeyer Hall is a historic academic building at Columbia University in New York City, best known for its chemistry laboratories and its iconic lecture hall featured in numerous films.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.