Triple

T18689981
Position Surface form Disambiguated ID Type / Status
Subject Porter Hall E456967 entity
Predicate name P16 FINISHED
Object Porter 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: Porter Hall | Statement: [Porter Hall, name, Porter Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porter Hall
Context triple: [Porter Hall, name, Porter Hall]
  • A. Porter Hall chosen
    Porter Hall was an American character actor known for his memorable supporting roles in classic Hollywood films of the 1930s and 1940s.
  • B. Roble Hall
    Roble Hall is a historic undergraduate residence hall at Stanford University known for its distinctive architecture and long-standing role in campus life.
  • C. Ford Hall
    Ford Hall is an academic building located on the College Avenue Campus of Rutgers University in New Brunswick, New Jersey.
  • D. Buntrock Hall
    Buntrock Hall is a performance and event space within Chicago’s Symphony Center complex, used for concerts, rehearsals, and special programs.
  • E. Capen Hall
    Capen Hall is a major academic and administrative building located on the University at Buffalo’s North Campus.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e28e5c8190b0033c1667d50e05 completed April 19, 2026, 11:18 p.m.
Created at: April 10, 2026, 11:49 a.m.