Triple

T9926051
Position Surface form Disambiguated ID Type / Status
Subject Hasso Plattner E187923 entity
Predicate givenName P17 FINISHED
Object Hasso
Hasso is a masculine given name of German origin, notably borne by SAP co-founder Hasso Plattner.
 E829916 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: Hasso | Statement: [Hasso Plattner, givenName, Hasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hasso
Context triple: [Hasso Plattner, givenName, Hasso]
  • A. Haase
    Haase is a surname of German origin commonly borne by individuals in German-speaking countries and their descendants.
  • B. Haibach
    Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
  • C. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Horst
    Horst is a tough, intimidating sous-chef in the animated film "Ratatouille," known for his mysterious and often contradictory criminal backstories.
  • E. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • 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: Hasso
Triple: [Hasso Plattner, givenName, Hasso]
Generated description
Hasso is a masculine given name of German origin, notably borne by SAP co-founder Hasso Plattner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hasso
Target entity description: Hasso is a masculine given name of German origin, notably borne by SAP co-founder Hasso Plattner.
  • A. Haase
    Haase is a surname of German origin commonly borne by individuals in German-speaking countries and their descendants.
  • B. Haibach
    Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
  • C. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Horst
    Horst is a tough, intimidating sous-chef in the animated film "Ratatouille," known for his mysterious and often contradictory criminal backstories.
  • E. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb599e32c8190ac676fa89c131bb6 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e143660819097a9fa96365bc25a completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d21318b3008190af5db2bfb53bc2c6 completed April 5, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_69d213b979e88190ad5a4f72784a0fe6 completed April 5, 2026, 7:48 a.m.
Created at: March 30, 2026, 8:43 p.m.