Triple

T7180801
Position Surface form Disambiguated ID Type / Status
Subject Paul Waner E167441 entity
Predicate familyName P18 FINISHED
Object Waner
Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
 E647219 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: Waner | Statement: [Paul Waner, familyName, Waner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waner
Context triple: [Paul Waner, familyName, Waner]
  • A. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • B. Wankaner
    Wankaner is a historic town in Gujarat, India, known for its former princely-state status under the Jhala Rajput rulers and its notable royal palaces.
  • C. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • D. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • E. Wuhl
    Wuhl is the surname of American actor, comedian, and writer Robert Wuhl, known for his roles in films like "Bull Durham" and the TV series "Arliss."
  • 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: Waner
Triple: [Paul Waner, familyName, Waner]
Generated description
Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waner
Target entity description: Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
  • A. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • B. Wankaner
    Wankaner is a historic town in Gujarat, India, known for its former princely-state status under the Jhala Rajput rulers and its notable royal palaces.
  • C. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • D. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • E. Wuhl
    Wuhl is the surname of American actor, comedian, and writer Robert Wuhl, known for his roles in films like "Bull Durham" and the TV series "Arliss."
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ba91908190a9055d4e026b655c completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b93d04ec8190ac5c5bf9ace7eca1 completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9e55f84819099af471a65bb68aa completed March 28, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba9317548190946e21c2731d58a7 completed March 28, 2026, 11:25 a.m.
Created at: March 27, 2026, 2:49 p.m.