Triple

T7407271
Position Surface form Disambiguated ID Type / Status
Subject National 9/11 Pentagon Memorial E170905 entity
Predicate architect P184 FINISHED
Object Keith Kaseman E170905 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: Keith Kaseman | Statement: [National 9/11 Pentagon Memorial, architect, Keith Kaseman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keith Kaseman
Context triple: [National 9/11 Pentagon Memorial, architect, Keith Kaseman]
  • A. Keith Kaseman chosen
    Keith Kaseman is an American architect best known as the co-designer of the National 9/11 Pentagon Memorial in Arlington, Virginia.
  • B. Mike Talman
    Mike Talman is a con man who becomes entangled in a tense scheme involving a blind woman and hidden heroin in the thriller "Wait Until Dark."
  • C. John Kamps
    John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
  • D. Steven Kemper
    Steven Kemper is a film editor known for his work on action and genre movies, including the 2010 supernatural action film "Legion."
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f298f2388190afc944c9bc78749a completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c93a41dfe081908ca5f7d5d46a7489 completed March 29, 2026, 2:42 p.m.
Created at: March 27, 2026, 3:10 p.m.