Triple

T2264027
Position Surface form Disambiguated ID Type / Status
Subject Charlie Weis E50102 entity
Predicate familyName P18 FINISHED
Object Weis
Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
 E251838 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: Weis | Statement: [Charlie Weis, familyName, Weis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weis
Context triple: [Charlie Weis, familyName, Weis]
  • A. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • B. Weslee
    Weslee is a modern feminine given name, typically understood as a variant of the name Wesley.
  • C. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • D. Frey
    Frey is the central protagonist of the game Elysium, around whom the story’s main events and character development revolve.
  • E. Weaver
    Weaver is a common English occupational surname historically given to people who worked as weavers of cloth or textiles.
  • 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: Weis
Triple: [Charlie Weis, familyName, Weis]
Generated description
Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weis
Target entity description: Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
  • A. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • B. Weslee
    Weslee is a modern feminine given name, typically understood as a variant of the name Wesley.
  • C. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • D. Frey
    Frey is the central protagonist of the game Elysium, around whom the story’s main events and character development revolve.
  • E. Weaver
    Weaver is a common English occupational surname historically given to people who worked as weavers of cloth or textiles.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18d7fc08190851765683d1b8092 completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cfd3b08190988474aa0fa985fe completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae7688583c8190abb05be41103762a completed March 9, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69ae76ec3c0c8190bfb7d25b435c777f completed March 9, 2026, 7:29 a.m.
Created at: March 4, 2026, 7:48 p.m.