Triple

T5078272
Position Surface form Disambiguated ID Type / Status
Subject Victor Herbert E114450 entity
Predicate spouse P13 FINISHED
Object Therese Förster
Therese Förster was a German-born soprano known for her performances in late 19th- and early 20th-century opera and concert repertoire.
E491735 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: Therese Förster | Statement: [Victor Herbert, spouse, Therese Förster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Therese Förster
Context triple: [Victor Herbert, spouse, Therese Förster]
  • A. Franziska Braun
    Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
  • B. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • C. Therese Giehse
    Therese Giehse was a prominent German stage and film actress, renowned for her powerful performances in works by Bertolt Brecht and for her opposition to the Nazi regime.
  • D. Brigitte Herbst
    Brigitte Herbst was the wife of Hans Frank, a prominent Nazi official and Governor-General of occupied Poland during World War II.
  • E. Adelheid Wendt
    Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
  • 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: Therese Förster
Triple: [Victor Herbert, spouse, Therese Förster]
Generated description
Therese Förster was a German-born soprano known for her performances in late 19th- and early 20th-century opera and concert repertoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Therese Förster
Target entity description: Therese Förster was a German-born soprano known for her performances in late 19th- and early 20th-century opera and concert repertoire.
  • A. Franziska Braun
    Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
  • B. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • C. Therese Giehse
    Therese Giehse was a prominent German stage and film actress, renowned for her powerful performances in works by Bertolt Brecht and for her opposition to the Nazi regime.
  • D. Brigitte Herbst
    Brigitte Herbst was the wife of Hans Frank, a prominent Nazi official and Governor-General of occupied Poland during World War II.
  • E. Adelheid Wendt
    Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f632788190ac4fd047e1a20485 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb12bd7288190b66ac606aebcabca completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb19325fc8190b768b8bd27eb0d7c completed March 21, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69beb23f789c8190811ee9e43327196c completed March 21, 2026, 2:59 p.m.
Created at: March 20, 2026, 1:39 p.m.