Triple

T1366472
Position Surface form Disambiguated ID Type / Status
Subject Pierce E30013 entity
Predicate hasVariant P455 FINISHED
Object Pearce
Pearce is a surname and given name of English origin, commonly considered a variant of "Pierce" and ultimately derived from the name "Peter."
 E155807 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: Pearce | Statement: [Pierce, hasVariant, Pearce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pearce
Context triple: [Pierce, hasVariant, Pearce]
  • A. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • B. Morgan
    Morgan is a prominent American banking and finance family name most famously associated with financier J. P. Morgan and the powerful House of Morgan banking dynasty.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Brielle
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • E. Poway
    Poway is a suburban city in Southern California known for its residential communities, parks, and location inland from the San Diego coast.
  • 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: Pearce
Triple: [Pierce, hasVariant, Pearce]
Generated description
Pearce is a surname and given name of English origin, commonly considered a variant of "Pierce" and ultimately derived from the name "Peter."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pearce
Target entity description: Pearce is a surname and given name of English origin, commonly considered a variant of "Pierce" and ultimately derived from the name "Peter."
  • A. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • B. Morgan
    Morgan is a prominent American banking and finance family name most famously associated with financier J. P. Morgan and the powerful House of Morgan banking dynasty.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Brielle
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • E. Poway
    Poway is a suburban city in Southern California known for its residential communities, parks, and location inland from the San Diego coast.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d1d15481909d58b6fd8aa2e585 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce788098819087a046e10966b7e9 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf15d910819098e9a4b24247881b completed March 8, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69accffa9a40819083a3e55a5d83e040 completed March 8, 2026, 1:25 a.m.
Created at: March 1, 2026, 7:57 p.m.