Triple

T15879036
Position Surface form Disambiguated ID Type / Status
Subject Chris Weinke E385025 entity
Predicate familyName P18 FINISHED
Object Weinke
Weinke is a surname most notably associated with Chris Weinke, a former American football quarterback and Heisman Trophy winner.
 E1181901 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: Weinke | Statement: [Chris Weinke, familyName, Weinke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weinke
Context triple: [Chris Weinke, familyName, Weinke]
  • A. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • B. Wein
    Wein is a surname most notably associated with George Wein, the influential American jazz promoter and founder of major music festivals such as the Newport Jazz Festival.
  • C. Roßwein
    Roßwein is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location along the Freiberger Mulde river.
  • D. Vino
    Vino is a VNC-compatible remote desktop server for the GNOME desktop environment on Unix-like systems.
  • E. Kruge
    Kruge is a ruthless Klingon commander and primary antagonist in the film "Star Trek III: The Search for Spock."
  • 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: Weinke
Triple: [Chris Weinke, familyName, Weinke]
Generated description
Weinke is a surname most notably associated with Chris Weinke, a former American football quarterback and Heisman Trophy winner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weinke
Target entity description: Weinke is a surname most notably associated with Chris Weinke, a former American football quarterback and Heisman Trophy winner.
  • A. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • B. Wein
    Wein is a surname most notably associated with George Wein, the influential American jazz promoter and founder of major music festivals such as the Newport Jazz Festival.
  • C. Roßwein
    Roßwein is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location along the Freiberger Mulde river.
  • D. Vino
    Vino is a VNC-compatible remote desktop server for the GNOME desktop environment on Unix-like systems.
  • E. Kruge
    Kruge is a ruthless Klingon commander and primary antagonist in the film "Star Trek III: The Search for Spock."
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9529ac48190993d1af234faea3b completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffa9e9b17c8190b98d930fd5cb0723 completed May 9, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffaa973274819080889e1b9883b8dc completed May 9, 2026, 9:43 p.m.
Created at: April 10, 2026, 4:51 a.m.