Triple

T2372001
Position Surface form Disambiguated ID Type / Status
Subject Western New York Flash E46110 entity
Predicate notablePlayer P304 FINISHED
Object Marta
Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
 E264408 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: Marta | Statement: [Western New York Flash, notablePlayer, Marta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marta
Context triple: [Western New York Flash, notablePlayer, Marta]
  • A. Marta
    Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
  • B. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • C. María
    María is a key character in Ernest Hemingway's novel "For Whom the Bell Tolls," known as a young Spanish woman and love interest of the protagonist amid the Spanish Civil War.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • E. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • 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: Marta
Triple: [Western New York Flash, notablePlayer, Marta]
Generated description
Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marta
Target entity description: Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
  • A. Marta
    Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
  • B. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • C. María
    María is a key character in Ernest Hemingway's novel "For Whom the Bell Tolls," known as a young Spanish woman and love interest of the protagonist amid the Spanish Civil War.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • E. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc771302481908540e31abb5aeeba completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3294d88190be67aa4cca72bbb4 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec2c1c0148190a5eb8fbfa452dd79 completed March 9, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69aec34a9a0481908c1033cb7d4b1516 completed March 9, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:56 p.m.