Triple

T8253141
Position Surface form Disambiguated ID Type / Status
Subject Spies E193003 entity
Predicate hasNotableBearer P458 FINISHED
Object Georg Spies
Georg Spies is a German footballer known for playing as a midfielder in the Bundesliga during the 1960s and 1970s.
E729241 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: Georg Spies | Statement: [Spies, hasNotableBearer, Georg Spies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georg Spies
Context triple: [Spies, hasNotableBearer, Georg Spies]
  • A. Karl Spies
    Karl Spies is an individual notable enough to be recognized as a namesake of the surname Spies.
  • B. Hans Spies
    Hans Spies is an individual notable enough to be recognized as a prominent bearer of the surname Spies.
  • C. Rainer Spies
    Rainer Spies is a person notable enough to be recognized as a namesake of the surname Spies.
  • D. Johann Krauss
    Johann Krauss is a ectoplasmic, German psychic scientist encased in a containment suit who serves as a disciplined and by-the-book member of the Bureau for Paranormal Research and Defense in the Hellboy universe.
  • E. Max Gütermann
    Max Gütermann was a prominent member of the Gütermann family known for his role in developing and expanding their influential textile and thread manufacturing business in Germany.
  • 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: Georg Spies
Triple: [Spies, hasNotableBearer, Georg Spies]
Generated description
Georg Spies is a German footballer known for playing as a midfielder in the Bundesliga during the 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Georg Spies
Target entity description: Georg Spies is a German footballer known for playing as a midfielder in the Bundesliga during the 1960s and 1970s.
  • A. Karl Spies
    Karl Spies is an individual notable enough to be recognized as a namesake of the surname Spies.
  • B. Hans Spies
    Hans Spies is an individual notable enough to be recognized as a prominent bearer of the surname Spies.
  • C. Rainer Spies
    Rainer Spies is a person notable enough to be recognized as a namesake of the surname Spies.
  • D. Johann Krauss
    Johann Krauss is a ectoplasmic, German psychic scientist encased in a containment suit who serves as a disciplined and by-the-book member of the Bureau for Paranormal Research and Defense in the Hellboy universe.
  • E. Max Gütermann
    Max Gütermann was a prominent member of the Gütermann family known for his role in developing and expanding their influential textile and thread manufacturing business in Germany.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78cbc7cc81909931440e95d6e691 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde74c4e6c8190a426139f71689a3e completed April 2, 2026, 3:49 a.m.
NEDg Description generation batch_69cdeb1fa7308190810b1fcc2184374a completed April 2, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_69cdec3081d88190ad0699f9072d3fc7 completed April 2, 2026, 4:10 a.m.
Created at: March 30, 2026, 5:48 p.m.