Triple

T11175849
Position Surface form Disambiguated ID Type / Status
Subject Marta E264408 entity
Predicate nickname P55 FINISHED
Object Queen Marta
Queen Marta is a person known by the regal nickname "Queen Marta," suggesting a prominent, respected, or authoritative status in her social or professional sphere.
 E910503 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: Queen Marta | Statement: [Marta, nickname, Queen Marta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Queen Marta
Context triple: [Marta, nickname, Queen Marta]
  • A. Ana Maria
    Ana Maria is an artist best known for creating the cover artwork for Bob Dylan’s album "World Gone Wrong."
  • B. Ana Maria
    Ana Maria is a notable racehorse associated with the legendary American Thoroughbred champion Native Dancer.
  • C. María Isabel
    María Isabel is the birth name of Spanish actress Maribel Verdú, known for her prominent roles in films such as "Y Tu Mamá También" and "Pan's Labyrinth."
  • D. Carlota
    Carlota is the feminine given name corresponding to Carlos, commonly used in Spanish- and Portuguese-speaking cultures.
  • E. Princess of Iturbide
    Princess of Iturbide is a noble title historically associated with female members of the imperial family of Agustín de Iturbide, the short-lived Emperor of the First Mexican Empire.
  • 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: Queen Marta
Triple: [Marta, nickname, Queen Marta]
Generated description
Queen Marta is a person known by the regal nickname "Queen Marta," suggesting a prominent, respected, or authoritative status in her social or professional sphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Queen Marta
Target entity description: Queen Marta is a person known by the regal nickname "Queen Marta," suggesting a prominent, respected, or authoritative status in her social or professional sphere.
  • A. Ana Maria
    Ana Maria is an artist best known for creating the cover artwork for Bob Dylan’s album "World Gone Wrong."
  • B. Ana Maria
    Ana Maria is a notable racehorse associated with the legendary American Thoroughbred champion Native Dancer.
  • C. María Isabel
    María Isabel is the birth name of Spanish actress Maribel Verdú, known for her prominent roles in films such as "Y Tu Mamá También" and "Pan's Labyrinth."
  • D. Carlota
    Carlota is the feminine given name corresponding to Carlos, commonly used in Spanish- and Portuguese-speaking cultures.
  • E. Princess of Iturbide
    Princess of Iturbide is a noble title historically associated with female members of the imperial family of Agustín de Iturbide, the short-lived Emperor of the First Mexican Empire.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8987e1081909b28a0bdb866beae completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4838f19388190af6fde7d4275ce2a completed April 19, 2026, 7:26 a.m.
NEDg Description generation batch_69e48788be688190a109ccb8281d3dc9 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890c12388190838d350207492c9e completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:29 p.m.