Triple

T17656019
Position Surface form Disambiguated ID Type / Status
Subject Thomas Sabo Ice Tigers E429624 entity
Predicate sponsor P67 FINISHED
Object Thomas Sabo
Thomas Sabo is a German jewelry and watch brand known for its fashion-forward sterling silver designs and charm collections.
E1280369 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: Thomas Sabo | Statement: [Thomas Sabo Ice Tigers, sponsor, Thomas Sabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Sabo
Context triple: [Thomas Sabo Ice Tigers, sponsor, Thomas Sabo]
  • A. Ebel Kremer
    Ebel Kremer is a New Zealand local government politician who serves as the deputy mayor of Southland District.
  • B. Hans Swarowsky
    Hans Swarowsky was an influential Austrian conductor and pedagogue renowned for training many prominent 20th-century conductors.
  • C. Salomon Arpels
    Salomon Arpels was a French jeweler and businessman best known as one of the co-founders of the luxury jewelry and watch house Van Cleef & Arpels.
  • D. Hector Hodler
    Hector Hodler was a Swiss Esperantist and co-founder of the Universal Esperanto Association, known for his major role in organizing and promoting the international language Esperanto.
  • E. Saul Silver
    Saul Silver is a laid-back, eccentric marijuana dealer and one of the two bumbling protagonists in the stoner action-comedy film "Pineapple Express."
  • 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: Thomas Sabo
Triple: [Thomas Sabo Ice Tigers, sponsor, Thomas Sabo]
Generated description
Thomas Sabo is a German jewelry and watch brand known for its fashion-forward sterling silver designs and charm collections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Sabo
Target entity description: Thomas Sabo is a German jewelry and watch brand known for its fashion-forward sterling silver designs and charm collections.
  • A. Ebel Kremer
    Ebel Kremer is a New Zealand local government politician who serves as the deputy mayor of Southland District.
  • B. Hans Swarowsky
    Hans Swarowsky was an influential Austrian conductor and pedagogue renowned for training many prominent 20th-century conductors.
  • C. Salomon Arpels
    Salomon Arpels was a French jeweler and businessman best known as one of the co-founders of the luxury jewelry and watch house Van Cleef & Arpels.
  • D. Hector Hodler
    Hector Hodler was a Swiss Esperantist and co-founder of the Universal Esperanto Association, known for his major role in organizing and promoting the international language Esperanto.
  • E. Saul Silver
    Saul Silver is a laid-back, eccentric marijuana dealer and one of the two bumbling protagonists in the stoner action-comedy film "Pineapple Express."
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e40e344819086a49c69f8f2956b completed April 19, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a021656351081908bc8f4e7eabbf8f8 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021747bc488190bf008b895d7f085b completed May 11, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0217e07bd08190a727c42742a467c3 completed May 11, 2026, 5:54 p.m.
Created at: April 10, 2026, 6:06 a.m.