Triple

T13264141
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Berkley E315872 entity
Predicate givenName P17 FINISHED
Object Elizabeth E787997 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 | Statement: [Elizabeth Berkley, givenName, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Context triple: [Elizabeth Berkley, givenName, Elizabeth]
  • A. Elizabeth
    Elizabeth is a key character in Nathaniel Hawthorne’s short story “The Minister’s Black Veil,” serving as Reverend Hooper’s fiancée whose reaction to his mysterious veil highlights themes of isolation and the fear of hidden sin.
  • B. Elizabeth
    Elizabeth is the first name of acclaimed New Zealand filmmaker Jane Campion, known for directing films such as "The Piano."
  • C. Elizabeth
    Elizabeth of Bohemia was a 17th-century princess and philosopher known for her extensive correspondence with René Descartes and her influential critiques of his dualism.
  • D. Elizabeth chosen
    Elizabeth is the birth name of American actress and comedian Ellie Kemper, known for her roles in "The Office" and "Unbreakable Kimmy Schmidt."
  • E. Elizabeth
    Elizabeth is the given name of Elizabeth Parke Custis, the eldest granddaughter of Martha Washington and a prominent member of early American society.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716cac5388190a839ec1dbdcdbf82 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.