Triple

T421425
Position Surface form Disambiguated ID Type / Status
Subject Pentagon Memorial E8110 entity
Predicate designer P184 FINISHED
Object Julie Beckman E183793 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: Julie Beckman | Statement: [Pentagon Memorial, designer, Julie Beckman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Beckman
Context triple: [Pentagon Memorial, designer, Julie Beckman]
  • A. Julie Beckman chosen
    Julie Beckman is an American architect best known for co-designing the National 9/11 Pentagon Memorial in Arlington, Virginia.
  • B. Julie Packard
    Julie Packard is a marine biologist and conservationist best known as the founding executive director of the Monterey Bay Aquarium and a prominent advocate for ocean conservation.
  • C. Julie Gillis
    Julie Gillis is the charming, commitment-wary nightclub agent at the center of the 1955 romantic comedy film "The Tender Trap," whose bachelor lifestyle is upended by unexpected love.
  • D. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • E. Beth DeBauche
    Beth DeBauche is a collegiate athletics administrator known for serving as commissioner of the Ohio Valley Conference.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eec0e9dc81908c08b209ce5278ef completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad606954e8819086ae3e46f3628483 completed March 8, 2026, 11:41 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.