Triple

T5510799
Position Surface form Disambiguated ID Type / Status
Subject Hortência Marcari E144559 entity
Predicate givenName P17 FINISHED
Object Hortência
Hortência is a legendary Brazilian basketball player widely regarded as one of the greatest female players in the sport’s history.
 E529902 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: Hortência | Statement: [Hortência Marcari, givenName, Hortência]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hortência
Context triple: [Hortência Marcari, givenName, Hortência]
  • A. Tamarineira
    Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
  • B. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • C. Jaqueira
    Jaqueira is a neighborhood in Recife, Brazil, known for its large urban park and residential character.
  • D. Anamirta
    Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
  • E. Lampetia
    Lampetia is a figure from Greek mythology, traditionally known as one of the daughters of the sun god Helios who watches over his sacred cattle.
  • 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: Hortência
Triple: [Hortência Marcari, givenName, Hortência]
Generated description
Hortência is a legendary Brazilian basketball player widely regarded as one of the greatest female players in the sport’s history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hortência
Target entity description: Hortência is a legendary Brazilian basketball player widely regarded as one of the greatest female players in the sport’s history.
  • A. Tamarineira
    Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
  • B. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • C. Jaqueira
    Jaqueira is a neighborhood in Recife, Brazil, known for its large urban park and residential character.
  • D. Anamirta
    Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
  • E. Lampetia
    Lampetia is a figure from Greek mythology, traditionally known as one of the daughters of the sun god Helios who watches over his sacred cattle.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4cbc2c819091fcbff5f39ceeb4 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027cd14748190bd48d350cfe63603 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03cd1650c8190b4673c479e151cf3 completed March 22, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69c03d6839dc8190ae05e661c4844211 completed March 22, 2026, 7:05 p.m.
Created at: March 22, 2026, 3:33 p.m.