Triple

T2236257
Position Surface form Disambiguated ID Type / Status
Subject Katia Mann E49287 entity
Predicate givenName P17 FINISHED
Object Katherina
Katherina is the given first name of Katia Mann, the wife of German novelist Thomas Mann.
 E248463 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: Katherina | Statement: [Katia Mann, givenName, Katherina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katherina
Context triple: [Katia Mann, givenName, Katherina]
  • A. Beatrice
    Beatrice is the idealized woman in Dante Alighieri’s Divine Comedy who serves as his spiritual guide through Paradise and symbolizes divine love and theology.
  • B. Beatrice
    Beatrice is a feminine given name of Latin origin, traditionally associated with meanings like "she who brings happiness" or "bringer of joy."
  • C. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • D. Bianca
    Bianca is a courtesan in Shakespeare’s tragedy "Othello," romantically involved with Cassio and used as a pawn in Iago’s schemes.
  • E. Silvia
    Silvia is a feminine given name used in various languages, often associated with the Latin word for "forest" or "woods."
  • 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: Katherina
Triple: [Katia Mann, givenName, Katherina]
Generated description
Katherina is the given first name of Katia Mann, the wife of German novelist Thomas Mann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katherina
Target entity description: Katherina is the given first name of Katia Mann, the wife of German novelist Thomas Mann.
  • A. Beatrice
    Beatrice is the idealized woman in Dante Alighieri’s Divine Comedy who serves as his spiritual guide through Paradise and symbolizes divine love and theology.
  • B. Beatrice
    Beatrice is a feminine given name of Latin origin, traditionally associated with meanings like "she who brings happiness" or "bringer of joy."
  • C. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • D. Bianca
    Bianca is a courtesan in Shakespeare’s tragedy "Othello," romantically involved with Cassio and used as a pawn in Iago’s schemes.
  • E. Silvia
    Silvia is a feminine given name used in various languages, often associated with the Latin word for "forest" or "woods."
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc093ba0c819091df09a0e018fce1 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b08c5248190924a28f4c1bd0e2c completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6c5cb33481909261f7010e8e21a6 completed March 9, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae6cd61e808190aefca4d4aa1f8e39 completed March 9, 2026, 6:46 a.m.
Created at: March 4, 2026, 7:47 p.m.