Triple

T34067131
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Tehuacán E873657 entity
Predicate hasBishop P10284 FINISHED
Object Norberto Rivera Carrera
Norberto Rivera Carrera is a Mexican Roman Catholic cardinal who has served as Archbishop of Mexico City and is a prominent figure in the contemporary Catholic Church in Mexico.
E2236247 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: Norberto Rivera Carrera | Statement: [Diocese of Tehuacán, hasBishop, Norberto Rivera Carrera]
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: Norberto Rivera Carrera
Triple: [Diocese of Tehuacán, hasBishop, Norberto Rivera Carrera]
Generated description
Norberto Rivera Carrera is a Mexican Roman Catholic cardinal who has served as Archbishop of Mexico City and is a prominent figure in the contemporary Catholic Church in Mexico.

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_69f349a4af208190afa14888f9c9fb9d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70ba50a188190b595083c3acd350a completed May 3, 2026, 8:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40afc2f03c81908f95428aa7c0465a completed June 28, 2026, 5:23 a.m.
NEDg Description generation batch_6a40b157330481908cb84a6b23ab2ea8 completed June 28, 2026, 5:29 a.m.
NED2 Entity disambiguation (via description) batch_6a40b1e7df4c8190a7f52452a2bdf288 completed June 28, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:52 a.m.