Triple

T26443386
Position Surface form Disambiguated ID Type / Status
Subject Tigres de Aragua E665146 entity
Predicate hasNotablePlayer P9730 FINISHED
Object David Concepción
David Concepción is a Venezuelan former Major League Baseball shortstop best known for his long, All-Star–studded career with the Cincinnati Reds as a key member of the "Big Red Machine."
E1759538 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: David Concepción | Statement: [Tigres de Aragua, hasNotablePlayer, David Concepción]
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: David Concepción
Triple: [Tigres de Aragua, hasNotablePlayer, David Concepción]
Generated description
David Concepción is a Venezuelan former Major League Baseball shortstop best known for his long, All-Star–studded career with the Cincinnati Reds as a key member of the "Big Red Machine."

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_69ee883c851881909e2ab04efbb3c5fe completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6121d00d48190b64b88a7d75c6e3b completed May 2, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253585cd48190b40154c6a829a606 completed May 24, 2026, 1:24 a.m.
NEDg Description generation batch_6a12540036908190876fb0c9e9737862 completed May 24, 2026, 1:27 a.m.
NED2 Entity disambiguation (via description) batch_6a1254f46d288190aa6f45f8c8e9007d completed May 24, 2026, 1:31 a.m.
Created at: April 27, 2026, midnight