Triple

T12734504
Position Surface form Disambiguated ID Type / Status
Subject Allen Weisselberg E304327 entity
Predicate givenName P17 FINISHED
Object Allen
Allen is a masculine given name of Celtic origin that is widely used in English-speaking countries.
 E1001156 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: [Allen Weisselberg, givenName, Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allen
Context triple: [Allen Weisselberg, givenName, Allen]
  • A. Allen
    Allen is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • B. Allen
    Allen is a suburban city in Collin County, Texas, known for its rapid growth, family-friendly communities, and location within the Dallas–Fort Worth metropolitan area.
  • C. Allen
    Allen is a city in Argentina’s Alto Valle region, known primarily for its fruit production and agriculture-based economy.
  • D. Allen
    Allen was the French-made leather football used as the official match ball of the 1938 FIFA World Cup.
  • E. Anderson
    Anderson is a city in South Carolina known as a regional hub in the Upstate area and part of the Greenville-Anderson-Mauldin metropolitan region.
  • 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: [Allen Weisselberg, givenName, Allen]
Generated description
Allen is a masculine given name of Celtic origin that is widely used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allen
Target entity description: Allen is a masculine given name of Celtic origin that is widely used in English-speaking countries.
  • A. Allen
    Allen is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • B. Allen
    Allen is a suburban city in Collin County, Texas, known for its rapid growth, family-friendly communities, and location within the Dallas–Fort Worth metropolitan area.
  • C. Allen
    Allen is a city in Argentina’s Alto Valle region, known primarily for its fruit production and agriculture-based economy.
  • D. Allen
    Allen was the French-made leather football used as the official match ball of the 1938 FIFA World Cup.
  • E. Anderson
    Anderson is a city in South Carolina known as a regional hub in the Upstate area and part of the Greenville-Anderson-Mauldin metropolitan region.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646902408190b29268d864833b80 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8e2dbc81909c1c85ca699a2679 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:26 p.m.