Triple

T20109447
Position Surface form Disambiguated ID Type / Status
Subject Humboldt’s Gift E490286 entity
Predicate mainCharacter P1183 FINISHED
Object Von Humboldt Fleischer
Von Humboldt Fleischer is the brilliant, eccentric poet and intellectual at the center of Saul Bellow’s novel "Humboldt’s Gift," whose rise and decline embody the tensions between art, fame, and American materialism.
 E1411570 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: Von Humboldt Fleischer | Statement: [Humboldt’s Gift, mainCharacter, Von Humboldt Fleischer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Von Humboldt Fleischer
Context triple: [Humboldt’s Gift, mainCharacter, Von Humboldt Fleischer]
  • A. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Bonnke
    Bonnke is a German surname most prominently associated with Reinhard Bonnke, a well-known Christian evangelist.
  • E. Hofmann
    Hofmann is a German-language surname borne by numerous notable individuals across fields such as music, science, and the arts.
  • 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: Von Humboldt Fleischer
Triple: [Humboldt’s Gift, mainCharacter, Von Humboldt Fleischer]
Generated description
Von Humboldt Fleischer is the brilliant, eccentric poet and intellectual at the center of Saul Bellow’s novel "Humboldt’s Gift," whose rise and decline embody the tensions between art, fame, and American materialism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Von Humboldt Fleischer
Target entity description: Von Humboldt Fleischer is the brilliant, eccentric poet and intellectual at the center of Saul Bellow’s novel "Humboldt’s Gift," whose rise and decline embody the tensions between art, fame, and American materialism.
  • A. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Bonnke
    Bonnke is a German surname most prominently associated with Reinhard Bonnke, a well-known Christian evangelist.
  • E. Hofmann
    Hofmann is a German-language surname borne by numerous notable individuals across fields such as music, science, and the arts.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666df1b148190a28ead2f7cce7aab completed April 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082717054c8190b0a0a50c64d12a52 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a0828c126608190b08561b45eee36eb completed May 16, 2026, 8:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0829a921688190a52538f7537e4ce5 completed May 16, 2026, 8:24 a.m.
Created at: April 11, 2026, 11:28 p.m.