Triple

T21443910
Position Surface form Disambiguated ID Type / Status
Subject San Dominick E529018 entity
Predicate hasPassenger P881 FINISHED
Object Alexandro Aranda
Alexandro Aranda is a fictional passenger character associated with the ship San Dominick in literary or narrative contexts.
 E1484787 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: Alexandro Aranda | Statement: [San Dominick, hasPassenger, Alexandro Aranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexandro Aranda
Context triple: [San Dominick, hasPassenger, Alexandro Aranda]
  • A. Sergio González
    Sergio González is an alumnus of Gulliver Preparatory School, a private college-preparatory institution in Miami, Florida.
  • B. Alejandro Pozuelo
    Alejandro Pozuelo is a Spanish attacking midfielder best known for his playmaking brilliance in Major League Soccer with Toronto FC, where he became one of the league’s standout stars.
  • C. Luis Díaz
    Luis Díaz is a songwriter best known for co-writing the global hit single "Hips Don’t Lie."
  • D. Diego Carrasco
    Diego Carrasco is a Spanish flamenco singer and guitarist known for blending traditional flamenco with contemporary musical styles.
  • E. Roberto Díaz
    Roberto Díaz is a renowned violist and music educator who has served as president and CEO of the Curtis Institute of Music.
  • 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: Alexandro Aranda
Triple: [San Dominick, hasPassenger, Alexandro Aranda]
Generated description
Alexandro Aranda is a fictional passenger character associated with the ship San Dominick in literary or narrative contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexandro Aranda
Target entity description: Alexandro Aranda is a fictional passenger character associated with the ship San Dominick in literary or narrative contexts.
  • A. Sergio González
    Sergio González is an alumnus of Gulliver Preparatory School, a private college-preparatory institution in Miami, Florida.
  • B. Alejandro Pozuelo
    Alejandro Pozuelo is a Spanish attacking midfielder best known for his playmaking brilliance in Major League Soccer with Toronto FC, where he became one of the league’s standout stars.
  • C. Luis Díaz
    Luis Díaz is a songwriter best known for co-writing the global hit single "Hips Don’t Lie."
  • D. Diego Carrasco
    Diego Carrasco is a Spanish flamenco singer and guitarist known for blending traditional flamenco with contemporary musical styles.
  • E. Roberto Díaz
    Roberto Díaz is a renowned violist and music educator who has served as president and CEO of the Curtis Institute of Music.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b7055d148190ae3b52e10abd8fd2 completed April 22, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c9034c3c8190a5c3ea37ef2b44f9 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c993004c81909cc0224947c178e0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca14cfcc81908565427b504d815e completed May 17, 2026, 2 p.m.
Created at: April 16, 2026, 6:05 p.m.