Triple

T889678
Position Surface form Disambiguated ID Type / Status
Subject George Allen E19211 entity
Predicate familyName P18 FINISHED
Object Allen
Allen is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
E105455 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: Allen | Statement: [George Allen, familyName, Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen
Context triple: [George Allen, familyName, Allen]
  • A. Anderson
    Anderson is the birth surname of the acclaimed Canadian singer-songwriter Joni Mitchell.
  • B. Azusa
    Azusa is a suburban city in the San Gabriel Valley region of Los Angeles County, California, located at the foothills of the San Gabriel Mountains.
  • C. Downey
    Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
  • D. Riverside
    Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
  • E. Avondale
    Avondale is a well-known residential and commercial suburb of Harare, Zimbabwe, noted for its shopping centers and relatively affluent character.
  • 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: Allen
Triple: [George Allen, familyName, Allen]
Generated description
Allen is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Allen
Target entity description: Allen is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • A. Anderson
    Anderson is the birth surname of the acclaimed Canadian singer-songwriter Joni Mitchell.
  • B. Azusa
    Azusa is a suburban city in the San Gabriel Valley region of Los Angeles County, California, located at the foothills of the San Gabriel Mountains.
  • C. Downey
    Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
  • D. Riverside
    Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
  • E. Avondale
    Avondale is a well-known residential and commercial suburb of Harare, Zimbabwe, noted for its shopping centers and relatively affluent character.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad0086a081908c47c285896a1f3c completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c023464481909759c457e87266ab completed March 4, 2026, 5:16 a.m.
NEDg Description generation batch_69a7c1509a8c81909b8cf074e1ce7169 completed March 4, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69a7c21dd42881908ac19fed7454d7a9 completed March 4, 2026, 5:24 a.m.
Created at: March 1, 2026, 7:39 p.m.