Triple

T18332440
Position Surface form Disambiguated ID Type / Status
Subject Gregor Samsa E439178 entity
Predicate hasFather P1908 FINISHED
Object Mr. Samsa
Mr. Samsa is Gregor Samsa’s domineering and often hostile father in Franz Kafka’s novella "The Metamorphosis."
 E1325095 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: Mr. Samsa | Statement: [Gregor Samsa, hasFather, Mr. Samsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mr. Samsa
Context triple: [Gregor Samsa, hasFather, Mr. Samsa]
  • A. Gregor Samsa
    Gregor Samsa is the beleaguered traveling salesman who famously awakens transformed into a giant insect in Franz Kafka’s novella "The Metamorphosis."
  • B. Grete Samsa
    Grete Samsa is Gregor Samsa’s sister in Franz Kafka’s novella "The Metamorphosis," whose initial compassion gradually turns to rejection as his transformation isolates him from his family.
  • C. Gregor
    Gregor is a masculine given name of Latin origin, commonly associated with figures such as the pioneering geneticist Gregor Mendel.
  • D. Gregor de Berghmann
    Gregor de Berghmann is a fictional character appearing in the narrative of "The Black Room."
  • E. Peter Schlemihl
    Peter Schlemihl is the fictional protagonist of Adelbert von Chamisso’s novella, known for selling his shadow to the Devil and suffering the social and existential consequences of this bargain.
  • 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: Mr. Samsa
Triple: [Gregor Samsa, hasFather, Mr. Samsa]
Generated description
Mr. Samsa is Gregor Samsa’s domineering and often hostile father in Franz Kafka’s novella "The Metamorphosis."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mr. Samsa
Target entity description: Mr. Samsa is Gregor Samsa’s domineering and often hostile father in Franz Kafka’s novella "The Metamorphosis."
  • A. Gregor Samsa
    Gregor Samsa is the beleaguered traveling salesman who famously awakens transformed into a giant insect in Franz Kafka’s novella "The Metamorphosis."
  • B. Grete Samsa
    Grete Samsa is Gregor Samsa’s sister in Franz Kafka’s novella "The Metamorphosis," whose initial compassion gradually turns to rejection as his transformation isolates him from his family.
  • C. Gregor
    Gregor is a masculine given name of Latin origin, commonly associated with figures such as the pioneering geneticist Gregor Mendel.
  • D. Gregor de Berghmann
    Gregor de Berghmann is a fictional character appearing in the narrative of "The Black Room."
  • E. Peter Schlemihl
    Peter Schlemihl is the fictional protagonist of Adelbert von Chamisso’s novella, known for selling his shadow to the Devil and suffering the social and existential consequences of this bargain.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecaf6f48190ae7547cc0f8e6efa completed April 19, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fcdca188190abea6661ab8673ab completed May 13, 2026, 5:44 a.m.
NEDg Description generation batch_6a041252d17c81908d61ff0e2ba0dfaa completed May 13, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0412ee06a08190b8cbd84611d12fad completed May 13, 2026, 5:58 a.m.
Created at: April 10, 2026, 10:36 a.m.