Triple

T6257356
Position Surface form Disambiguated ID Type / Status
Subject Larry Wos E140203 entity
Predicate familyName P18 FINISHED
Object Wos
Wos is a surname most notably associated with Larry Wos, an American mathematician and pioneer in automated theorem proving.
 E580566 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: Wos | Statement: [Larry Wos, familyName, Wos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wos
Context triple: [Larry Wos, familyName, Wos]
  • A. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • B. Wossek
    Wossek is a small town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of Hermann Kafka, father of writer Franz Kafka.
  • C. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • D. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • E. Walo
    Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
  • 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: Wos
Triple: [Larry Wos, familyName, Wos]
Generated description
Wos is a surname most notably associated with Larry Wos, an American mathematician and pioneer in automated theorem proving.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wos
Target entity description: Wos is a surname most notably associated with Larry Wos, an American mathematician and pioneer in automated theorem proving.
  • A. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • B. Wossek
    Wossek is a small town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of Hermann Kafka, father of writer Franz Kafka.
  • C. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • D. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • E. Walo
    Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06366baa481908d59428cceabbe46 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2443f0cb88190a32968fce0214045 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c2471a08448190bb8d61f20403d44b completed March 24, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_69c4fb839b2481909caa57f34a8837db completed March 26, 2026, 9:25 a.m.
Created at: March 22, 2026, 4:24 p.m.