Triple

T14803937
Position Surface form Disambiguated ID Type / Status
Subject Baldwyn E347980 entity
Predicate relatedName P3889 FINISHED
Object Baldemar
Baldemar is a masculine given name of Germanic origin, historically associated with meanings related to boldness and fame.
 E1129671 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: Baldemar | Statement: [Baldwyn, relatedName, Baldemar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baldemar
Context triple: [Baldwyn, relatedName, Baldemar]
  • A. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • B. Basilio
    Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
  • C. Basilio
    Basilio is the surname of Enriqueta Basilio, the Mexican track and field athlete famed for being the first woman to light the Olympic cauldron at the 1968 Summer Olympics.
  • D. Demetrio
    Demetrio is an 18th-century opera libretto by Italian poet and dramatist Pietro Metastasio, widely set to music by numerous composers of the period.
  • E. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • 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: Baldemar
Triple: [Baldwyn, relatedName, Baldemar]
Generated description
Baldemar is a masculine given name of Germanic origin, historically associated with meanings related to boldness and fame.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baldemar
Target entity description: Baldemar is a masculine given name of Germanic origin, historically associated with meanings related to boldness and fame.
  • A. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • B. Basilio
    Basilio is the surname of Enriqueta Basilio, the Mexican track and field athlete famed for being the first woman to light the Olympic cauldron at the 1968 Summer Olympics.
  • C. Basilio
    Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
  • D. Demetrio
    Demetrio is an 18th-century opera libretto by Italian poet and dramatist Pietro Metastasio, widely set to music by numerous composers of the period.
  • E. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bc7aba08190b2e125b174751a53 completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8ed29fa0819086d5c7cb7f64a496 completed May 9, 2026, 1:33 a.m.
NED2 Entity disambiguation (via description) batch_69fe8f3cfe3c819093b076635edc2f46 completed May 9, 2026, 1:34 a.m.
Created at: April 10, 2026, 1:34 a.m.