Triple

T8987438
Position Surface form Disambiguated ID Type / Status
Subject Lisbeth E214703 entity
Predicate hasRelatedName P3889 FINISHED
Object Elizabeth E285690 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: [Lisbeth, hasRelatedName, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Context triple: [Lisbeth, hasRelatedName, Elizabeth]
  • A. Elizabeth chosen
    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 given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
  • C. Elizabeth
    Elizabeth is the first name of acclaimed New Zealand filmmaker Jane Campion, known for directing films such as "The Piano."
  • D. Elizabeth
    Elizabeth Cromwell was the wife of English military and political leader Oliver Cromwell and served as the de facto first lady during his tenure as Lord Protector.
  • E. Elizabeth
    Elizabeth Stewart, Duchess of Albany, was a 15th-century Scottish noblewoman and daughter of King James II of Scotland.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ef19108190ac518c4f744b6d60 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01755d26c819084c6b4967550842e completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:04 p.m.