Triple

T14367316
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Plater-Zyberk E356268 entity
Predicate name P16 FINISHED
Object Elizabeth Plater-Zyberk E356268 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: Elizabeth Plater-Zyberk | Statement: [Elizabeth Plater-Zyberk, name, Elizabeth Plater-Zyberk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Plater-Zyberk
Context triple: [Elizabeth Plater-Zyberk, name, Elizabeth Plater-Zyberk]
  • A. Elizabeth Plater-Zyberk chosen
    Elizabeth Plater-Zyberk is an American architect and urban planner recognized as a leading figure and co-founder of the New Urbanism movement.
  • B. Patricia Fruen
    Patricia Fruen is an actress known for her role in the film "Way Down East."
  • C. Maria Newman
    Maria Newman is an American composer and violinist known for her concert and film music, and as a member of the prominent Newman family of film composers.
  • D. Elizabeth J. Feinler
    Elizabeth J. Feinler is an American information scientist best known for leading early internet directory and naming services, including managing the first WHOIS and domain name registries.
  • E. Karen McCullah Lutz
    Karen McCullah Lutz is an American screenwriter best known for co-writing popular romantic comedies such as "10 Things I Hate About You," "Legally Blonde," and "The House Bunny."
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.