Triple

T25996897
Position Surface form Disambiguated ID Type / Status
Subject Premier Boxing Champions E646508 entity
Predicate hasNotableFighter P41483 FINISHED
Object Leo Santa Cruz
Leo Santa Cruz is a Mexican-American professional boxer and multiple-division world champion known for his high-volume punching style and success in weight classes from bantamweight to featherweight.
E1708211 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: Leo Santa Cruz | Statement: [Premier Boxing Champions, hasNotableFighter, Leo Santa Cruz]
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: Leo Santa Cruz
Triple: [Premier Boxing Champions, hasNotableFighter, Leo Santa Cruz]
Generated description
Leo Santa Cruz is a Mexican-American professional boxer and multiple-division world champion known for his high-volume punching style and success in weight classes from bantamweight to featherweight.

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_69e77e88cb8481908da31d4a00661f55 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6056f481c81909fd23b04483b76a0 completed May 2, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b0b7af48190b7d71ad9f766368c completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111c0a65f881908a29d01412627de9 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111ca03b088190937f673d972fdca2 completed May 23, 2026, 3:18 a.m.
Created at: April 22, 2026, 8:58 a.m.