Triple

T15698342
Position Surface form Disambiguated ID Type / Status
Subject Too Many Parents E380523 entity
Predicate starring P1507 FINISHED
Object Porter Hall E456967 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: Porter Hall | Statement: [Too Many Parents, starring, Porter Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porter Hall
Context triple: [Too Many Parents, starring, 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. Ford Hall
    Ford Hall is an academic building located on the College Avenue Campus of Rutgers University in New Brunswick, New Jersey.
  • C. Buntrock Hall
    Buntrock Hall is a performance and event space within Chicago’s Symphony Center complex, used for concerts, rehearsals, and special programs.
  • D. Capen Hall
    Capen Hall is a major academic and administrative building located on the University at Buffalo’s North Campus.
  • E. Parmenter Hall
    Parmenter Hall is a historic academic building on the campus of Baker University in Baldwin City, Kansas.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6c3328819081325b702ca92862 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7571f1888190b83af75ec9c7432b completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:44 a.m.