Triple

T25756692
Position Surface form Disambiguated ID Type / Status
Subject Osorio E648619 entity
Predicate hasNotableBearer P458 FINISHED
Object Ricardo Osorio
Ricardo Osorio is a retired Mexican professional footballer best known for his role as a defender with Cruz Azul, VfB Stuttgart, and the Mexico national team, including appearances at multiple FIFA World Cups.
E1860860 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: Ricardo Osorio | Statement: [Osorio, hasNotableBearer, Ricardo Osorio]
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: Ricardo Osorio
Triple: [Osorio, hasNotableBearer, Ricardo Osorio]
Generated description
Ricardo Osorio is a retired Mexican professional footballer best known for his role as a defender with Cruz Azul, VfB Stuttgart, and the Mexico national team, including appearances at multiple FIFA World Cups.

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_69e7ab314d788190b3abe19e114080e1 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fd83a8c08190a01a2ba975690e38 completed May 2, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a829d6b08190af6c336fdd7f38c8 completed June 7, 2026, 5:19 p.m.
NEDg Description generation batch_6a25aca216088190b6e106c9172f638c completed June 7, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a25b1426d488190b7d2a0546ab29f59 completed June 7, 2026, 5:58 p.m.
Created at: April 22, 2026, 4:41 a.m.