Triple

T8253144
Position Surface form Disambiguated ID Type / Status
Subject Spies E193003 entity
Predicate hasNotableBearer P458 FINISHED
Object Michael Spies
Michael Spies is a former German professional footballer known for his career as an attacking midfielder in the Bundesliga during the late 1980s and 1990s.
 E729242 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: Michael Spies | Statement: [Spies, hasNotableBearer, Michael Spies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Spies
Context triple: [Spies, hasNotableBearer, Michael Spies]
  • A. Darrell Roodt
    Darrell Roodt is a South African film director known for socially conscious dramas that often explore apartheid and its legacy, including the acclaimed musical film "Sarafina!".
  • B. Gavin Louw
    Gavin Louw is an individual notable enough to be specifically cited as a bearer of the surname Louw.
  • C. Peter Spies
    Peter Spies is a notable individual who shares his surname with the Spies family name.
  • D. Schalk Brits
    Schalk Brits is a retired South African rugby union hooker best known for his dynamic play with Saracens and the Springboks, with whom he won the 2019 Rugby World Cup.
  • E. Marius Louw
    Marius Louw is a South African professional rugby union player known for his performances as a centre in top domestic and international club competitions.
  • 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: Michael Spies
Triple: [Spies, hasNotableBearer, Michael Spies]
Generated description
Michael Spies is a former German professional footballer known for his career as an attacking midfielder in the Bundesliga during the late 1980s and 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Spies
Target entity description: Michael Spies is a former German professional footballer known for his career as an attacking midfielder in the Bundesliga during the late 1980s and 1990s.
  • A. Darrell Roodt
    Darrell Roodt is a South African film director known for socially conscious dramas that often explore apartheid and its legacy, including the acclaimed musical film "Sarafina!".
  • B. Gavin Louw
    Gavin Louw is an individual notable enough to be specifically cited as a bearer of the surname Louw.
  • C. Peter Spies
    Peter Spies is a notable individual who shares his surname with the Spies family name.
  • D. Schalk Brits
    Schalk Brits is a retired South African rugby union hooker best known for his dynamic play with Saracens and the Springboks, with whom he won the 2019 Rugby World Cup.
  • E. Marius Louw
    Marius Louw is a South African professional rugby union player known for his performances as a centre in top domestic and international club competitions.
  • 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.