Triple

T5647776
Position Surface form Disambiguated ID Type / Status
Subject Anne Elizabeth Alice Louise E124425 entity
Predicate givenName P17 FINISHED
Object Elizabeth E307144 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: [Anne Elizabeth Alice Louise, givenName, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Context triple: [Anne Elizabeth Alice Louise, givenName, Elizabeth]
  • A. Elizabeth
    Elizabeth is a city in northeastern New Jersey that forms part of the greater New York metropolitan area.
  • B. 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.
  • C. Elizabeth chosen
    Elizabeth is the given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
  • D. Elizabeth
    Elizabeth is the first name of acclaimed New Zealand filmmaker Jane Campion, known for directing films such as "The Piano."
  • E. Elizabeth
    Elizabeth "Betty" Ford was the influential First Lady of the United States from 1974 to 1977, renowned for her advocacy on women's rights, breast cancer awareness, and addiction treatment.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d1534c8190ac4828e44300fb91 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a218c688190879462d507f94b36 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:42 p.m.