Triple

T21100856
Position Surface form Disambiguated ID Type / Status
Subject Lucien Carr E519898 entity
Predicate spouse P13 FINISHED
Object Francesca von Hartz
Francesca von Hartz was the wife of Lucien Carr, a central figure associated with the early Beat Generation literary circle.
 E1466105 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: Francesca von Hartz | Statement: [Lucien Carr, spouse, Francesca von Hartz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Francesca von Hartz
Context triple: [Lucien Carr, spouse, Francesca von Hartz]
  • A. Lisa von Dobeneck
    Lisa von Dobeneck was a German aristocrat best known as the wife of tennis champion Gottfried von Cramm.
  • B. Bridget von Hammersmark
    Bridget von Hammersmark is a glamorous German film star and undercover Allied spy in Quentin Tarantino's film "Inglourious Basterds."
  • C. Felicitas von Rhaden
    Felicitas von Rhaden is the seductive and morally ambiguous heroine of the 1926 silent romantic drama film "Flesh and the Devil," portrayed by Greta Garbo.
  • D. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • E. Julie von Webenau
    Julie von Webenau was a 19th-century Austrian pianist and composer known for her salon pieces and connections with prominent Romantic-era musicians.
  • 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: Francesca von Hartz
Triple: [Lucien Carr, spouse, Francesca von Hartz]
Generated description
Francesca von Hartz was the wife of Lucien Carr, a central figure associated with the early Beat Generation literary circle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Francesca von Hartz
Target entity description: Francesca von Hartz was the wife of Lucien Carr, a central figure associated with the early Beat Generation literary circle.
  • A. Lisa von Dobeneck
    Lisa von Dobeneck was a German aristocrat best known as the wife of tennis champion Gottfried von Cramm.
  • B. Bridget von Hammersmark
    Bridget von Hammersmark is a glamorous German film star and undercover Allied spy in Quentin Tarantino's film "Inglourious Basterds."
  • C. Felicitas von Rhaden
    Felicitas von Rhaden is the seductive and morally ambiguous heroine of the 1926 silent romantic drama film "Flesh and the Devil," portrayed by Greta Garbo.
  • D. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • E. Julie von Webenau
    Julie von Webenau was a 19th-century Austrian pianist and composer known for her salon pieces and connections with prominent Romantic-era musicians.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5cef408190821d345417b77116 completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a62bd0c8190b10e3b472ba7e330 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c9f10248190b4eab0842c6943f1 completed May 17, 2026, 6:13 a.m.
NED2 Entity disambiguation (via description) batch_6a095d6457608190904688689ec8982e completed May 17, 2026, 6:17 a.m.
Created at: April 16, 2026, 2:53 p.m.