Triple

T36059688
Position Surface form Disambiguated ID Type / Status
Subject Ricardo Mayorga E1043040 entity
Predicate lostTo P356 FINISHED
Object Rene Martinez
Rene Martinez is a professional mixed martial artist and boxer known for notable victories in combat sports, including a win over former world boxing champion Ricardo Mayorga.
E2167841 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: Rene Martinez | Statement: [Ricardo Mayorga, lostTo, Rene Martinez]
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: Rene Martinez
Triple: [Ricardo Mayorga, lostTo, Rene Martinez]
Generated description
Rene Martinez is a professional mixed martial artist and boxer known for notable victories in combat sports, including a win over former world boxing champion Ricardo Mayorga.

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_69f76e2f09448190b0486d5ecad5e243 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b1ecf4f481908505348a3ebe897b completed May 3, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d534f64081909877df4b64a5b70a completed June 22, 2026, 6:24 a.m.
NEDg Description generation batch_6a38d5b51fc4819094d7f28d74973547 completed June 22, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_6a38d65cc2c88190a6b0d81ee0132adf completed June 22, 2026, 6:29 a.m.
Created at: May 3, 2026, 4:08 p.m.