Triple

T8513199
Position Surface form Disambiguated ID Type / Status
Subject Ernie Colón E201507 entity
Predicate familyName P18 FINISHED
Object Colón
Colón is a Spanish-origin surname commonly found in Hispanic communities and notably borne by figures such as comic book artist Ernie Colón.
 E738667 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: Colón | Statement: [Ernie Colón, familyName, Colón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colón
Context triple: [Ernie Colón, familyName, Colón]
  • A. Colón
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • B. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • C. Colón
    Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
  • D. Colón
    Colón is a small municipality located in Colombia's southern Amazonian region within the Putumayo Department.
  • E. Cristóbal Colón de Toledo
    Cristóbal Colón de Toledo was a Spanish nobleman and descendant of Christopher Columbus, belonging to the prominent Colón family that held titles and estates in the New World.
  • 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: Colón
Triple: [Ernie Colón, familyName, Colón]
Generated description
Colón is a Spanish-origin surname commonly found in Hispanic communities and notably borne by figures such as comic book artist Ernie Colón.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colón
Target entity description: Colón is a Spanish-origin surname commonly found in Hispanic communities and notably borne by figures such as comic book artist Ernie Colón.
  • A. Colón
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • B. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • C. Colón
    Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
  • D. Colón
    Colón is a small municipality located in Colombia's southern Amazonian region within the Putumayo Department.
  • E. Cristóbal Colón de Toledo
    Cristóbal Colón de Toledo was a Spanish nobleman and descendant of Christopher Columbus, belonging to the prominent Colón family that held titles and estates in the New World.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60cdfcc819081a9be1229378ba0 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e4e64f481908ddf99570fe59332 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffac8a08190bc2131c0d260ca39 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce5117c7508190b74821d029d226c6 completed April 2, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:15 p.m.