Triple

T23900241
Position Surface form Disambiguated ID Type / Status
Subject Sporting Academy E601021 entity
Predicate notableAlumnus P304 FINISHED
Object Miguel Veloso
Miguel Veloso is a Portuguese professional footballer, primarily a defensive midfielder, known for his playmaking ability and long-range passing, who has represented Portugal internationally and played for clubs such as Sporting CP, Genoa, and Dynamo Kyiv.
E1643489 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: Miguel Veloso | Statement: [Sporting Academy, notableAlumnus, Miguel Veloso]
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: Miguel Veloso
Triple: [Sporting Academy, notableAlumnus, Miguel Veloso]
Generated description
Miguel Veloso is a Portuguese professional footballer, primarily a defensive midfielder, known for his playmaking ability and long-range passing, who has represented Portugal internationally and played for clubs such as Sporting CP, Genoa, and Dynamo Kyiv.

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_69e295364a488190bcac702e9bb7f764 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cdddca088190b6c26df984a143ad completed April 29, 2026, 9:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10044f67548190a004cb281c839ac5 completed May 22, 2026, 7:22 a.m.
NEDg Description generation batch_6a10056bde0c8190938cf666993e6f70 completed May 22, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_6a1006162a308190a1c1ed715d0a6691 completed May 22, 2026, 7:30 a.m.
Created at: April 17, 2026, 8:26 p.m.