Triple

T3270219
Position Surface form Disambiguated ID Type / Status
Subject Philip William, Prince of Orange E68627 entity
Predicate title P38 FINISHED
Object Count of Buren
Count of Buren is a noble title historically associated with the House of Orange-Nassau and held by members of the Dutch royal family.
E342543 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: Count of Buren | Statement: [Philip William, Prince of Orange, title, Count of Buren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Buren
Context triple: [Philip William, Prince of Orange, title, Count of Buren]
  • A. Polk
    Polk is a surname most prominently associated with James K. Polk, the 11th president of the United States.
  • B. W. Adams
    W. Adams is an author best known for writing the work titled "Gold Digger."
  • C. Kuvempu
    Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
  • D. William King
    William King is an American musician best known as a founding trumpeter and horn player of the funk and soul band The Commodores.
  • E. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • 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: Count of Buren
Triple: [Philip William, Prince of Orange, title, Count of Buren]
Generated description
Count of Buren is a noble title historically associated with the House of Orange-Nassau and held by members of the Dutch royal family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Count of Buren
Target entity description: Count of Buren is a noble title historically associated with the House of Orange-Nassau and held by members of the Dutch royal family.
  • A. Polk
    Polk is a surname most prominently associated with James K. Polk, the 11th president of the United States.
  • B. W. Adams
    W. Adams is an author best known for writing the work titled "Gold Digger."
  • C. Kuvempu
    Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
  • D. William King
    William King is an American musician best known as a founding trumpeter and horn player of the funk and soul band The Commodores.
  • E. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff349148190beae8c0994b7ad83 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28efded588190bd6c361e5298b496 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b28fcef05c8190b9141dcaa3f9145b completed March 12, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c47e908190b5be5b33da358ade completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.