Triple

T35808450
Position Surface form Disambiguated ID Type / Status
Subject Koska Reeves E1035163 entity
Predicate portrayedBy P1507 FINISHED
Object Mercedes Varnado
Mercedes Varnado, better known by her ring name Sasha Banks, is an American professional wrestler and actress recognized for her influential WWE career and her role in the Star Wars series The Mandalorian.
E2156374 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: Mercedes Varnado | Statement: [Koska Reeves, portrayedBy, Mercedes Varnado]
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: Mercedes Varnado
Triple: [Koska Reeves, portrayedBy, Mercedes Varnado]
Generated description
Mercedes Varnado, better known by her ring name Sasha Banks, is an American professional wrestler and actress recognized for her influential WWE career and her role in the Star Wars series The Mandalorian.

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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a8d99eb481908dafe92649880c5a completed May 3, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389170738c81908fbc6d15c66cca41 completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a38928c712c8190b3d7e00d5a919bc2 completed June 22, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a38930372408190a387347aba837518 completed June 22, 2026, 1:42 a.m.
Created at: May 3, 2026, 4:06 p.m.