Triple

T14241962
Position Surface form Disambiguated ID Type / Status
Subject Lisabeth Fischer E353030 entity
Predicate givenName P17 FINISHED
Object Lisabeth
Lisabeth is a feminine given name, often considered a variant or shortened form of Elisabeth or Elizabeth.
E1088322 NE FINISHED

How this triple was built (4 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: Lisabeth | Statement: [Lisabeth Fischer, givenName, Lisabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisabeth
Context triple: [Lisabeth Fischer, givenName, Lisabeth]
  • A. Ysabell
    Ysabell is a character from Terry Pratchett's Discworld series, notably the adopted daughter of Death who appears prominently in the novel "Mort."
  • B. Isabella
    Isabella is a virtuous and resourceful young noblewoman in Horace Walpole’s Gothic novel "The Castle of Otranto," whose peril and resistance drive much of the story’s suspense and drama.
  • C. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • D. Isabella
    Isabella of Portugal was a 16th-century Portuguese noblewoman who became Holy Roman Empress and Queen of Spain as the wife of Emperor Charles V.
  • E. Isabella
    Isabella was a Polish princess of the Jagiellonian dynasty who became Queen consort of Hungary in the 16th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lisabeth
Triple: [Lisabeth Fischer, givenName, Lisabeth]
Generated description
Lisabeth is a feminine given name, often considered a variant or shortened form of Elisabeth or Elizabeth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lisabeth
Target entity description: Lisabeth is a feminine given name, often considered a variant or shortened form of Elisabeth or Elizabeth.
  • A. Ysabell
    Ysabell is a character from Terry Pratchett's Discworld series, notably the adopted daughter of Death who appears prominently in the novel "Mort."
  • B. Isabella
    Isabella is a virtuous and resourceful young noblewoman in Horace Walpole’s Gothic novel "The Castle of Otranto," whose peril and resistance drive much of the story’s suspense and drama.
  • C. Isabella
    Isabella was a Polish princess of the Jagiellonian dynasty who became Queen consort of Hungary in the 16th century.
  • D. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • E. Isabella
    Isabella was an English princess of the 13th century, daughter of King John of England, who became Lady de Coucy through marriage into the French nobility.
  • F. None of above. chosen

Provenance (5 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6244ad188190b9d9db7914240410 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28235880819094f5983cce01b0fc completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2b2363f881909e04edd850166dd5 completed May 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd2cf1a1248190a97644dadf1717bc completed May 8, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:08 a.m.