Triple

T22448694
Position Surface form Disambiguated ID Type / Status
Subject Gran Colombian Navy E554930 entity
Predicate notableCommander P1197 FINISHED
Object Luis Brión
Luis Brión was a Venezuelan-born admiral and independence hero who played a key naval leadership role in Simón Bolívar’s campaigns during the Spanish American wars of independence.
E1638578 NE FINISHED

How this triple was built (2 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: Luis Brión | Statement: [Gran Colombian Navy, notableCommander, Luis Brión]
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: Luis Brión
Triple: [Gran Colombian Navy, notableCommander, Luis Brión]
Generated description
Luis Brión was a Venezuelan-born admiral and independence hero who played a key naval leadership role in Simón Bolívar’s campaigns during the Spanish American wars of independence.

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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4a20f8819097f471084e97e099 completed April 29, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee3d94748190a6efd95f0ed16de5 completed May 22, 2026, 5:48 a.m.
NEDg Description generation batch_6a0fef6feb088190870b41df1edb338e completed May 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff08d9fac81909ea8af6e6b10102a completed May 22, 2026, 5:58 a.m.
Created at: April 16, 2026, 8:48 p.m.