Triple

T5544794
Position Surface form Disambiguated ID Type / Status
Subject Sepp Blatter E145379 entity
Predicate nickname P55 FINISHED
Object Sepp
Sepp is the commonly used nickname of Joseph "Sepp" Blatter, the long-serving and controversial former president of FIFA.
 E529733 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: Sepp | Statement: [Sepp Blatter, nickname, Sepp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sepp
Context triple: [Sepp Blatter, nickname, Sepp]
  • A. Bernhard
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • B. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • C. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • D. Rudi
    Rudi is a common diminutive form of the given name Rudolf, used in various European languages.
  • E. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • 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: Sepp
Triple: [Sepp Blatter, nickname, Sepp]
Generated description
Sepp is the commonly used nickname of Joseph "Sepp" Blatter, the long-serving and controversial former president of FIFA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sepp
Target entity description: Sepp is the commonly used nickname of Joseph "Sepp" Blatter, the long-serving and controversial former president of FIFA.
  • A. Bernhard
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • B. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • C. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • D. Rudi
    Rudi is a common diminutive form of the given name Rudolf, used in various European languages.
  • E. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fcad7d88190b83bb4ecb3b34bfd completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02826d84c8190a745e891ac2cccb8 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c03847b3348190be97b7c5795df368 completed March 22, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69c038e148a0819080a306307e60d437 completed March 22, 2026, 6:45 p.m.
Created at: March 22, 2026, 3:35 p.m.