Triple

T9959891
Position Surface form Disambiguated ID Type / Status
Subject Mike Holmgren E195540 entity
Predicate familyName P18 FINISHED
Object Holmgren
Holmgren is a surname most prominently associated with Mike Holmgren, a Super Bowl–winning American football coach known for leading the Green Bay Packers and Seattle Seahawks.
 E832908 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: Holmgren | Statement: [Mike Holmgren, familyName, Holmgren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holmgren
Context triple: [Mike Holmgren, familyName, Holmgren]
  • A. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • B. Sundberg
    Sundberg is a Swedish-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
  • C. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • D. Hedlund
    Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
  • E. Enström
    Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
  • 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: Holmgren
Triple: [Mike Holmgren, familyName, Holmgren]
Generated description
Holmgren is a surname most prominently associated with Mike Holmgren, a Super Bowl–winning American football coach known for leading the Green Bay Packers and Seattle Seahawks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holmgren
Target entity description: Holmgren is a surname most prominently associated with Mike Holmgren, a Super Bowl–winning American football coach known for leading the Green Bay Packers and Seattle Seahawks.
  • A. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • B. Sundberg
    Sundberg is a Swedish-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
  • C. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • D. Hedlund
    Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
  • E. Enström
    Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d08fdc8190a77b9c97830035bc completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d867b408190ab630ae4af0fb827 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23eb1c1f481908404225dcccd0697 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d242aea6a08190a73a836e59865c35 completed April 5, 2026, 11:08 a.m.
Created at: March 30, 2026, 8:46 p.m.