Triple

T506233
Position Surface form Disambiguated ID Type / Status
Subject Ron Rivera E10507 entity
Predicate familyName P18 FINISHED
Object Rivera
Rivera is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and entertainment.
E114090 NE FINISHED

How this triple was built (4 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: Rivera | Statement: [Ron Rivera, familyName, Rivera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rivera
Context triple: [Ron Rivera, familyName, Rivera]
  • A. Río de los Remedios
    Río de los Remedios is a Metrobús station in Mexico City that serves as the northern terminus of Line 5 in the city’s bus rapid transit system.
  • B. Illapel River
    The Illapel River is a watercourse in Chile’s Coquimbo Region that flows through the Choapa Province, supporting local agriculture and communities in a semi-arid landscape.
  • C. Río Negro
    Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
  • D. Grande River
    The Grande River is a watercourse in Chile’s Limarí Province that contributes to the region’s agricultural irrigation and local watershed.
  • E. Columbia
    Columbia is a historic Gold Rush-era town in Tuolumne County, California, preserved today as a state historic park and tourist destination.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rivera
Triple: [Ron Rivera, familyName, Rivera]
Generated description
Rivera is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rivera
Target entity description: Rivera is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • A. Río de los Remedios
    Río de los Remedios is a Metrobús station in Mexico City that serves as the northern terminus of Line 5 in the city’s bus rapid transit system.
  • B. Illapel River
    The Illapel River is a watercourse in Chile’s Coquimbo Region that flows through the Choapa Province, supporting local agriculture and communities in a semi-arid landscape.
  • C. Río Negro
    Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
  • D. Grande River
    The Grande River is a watercourse in Chile’s Limarí Province that contributes to the region’s agricultural irrigation and local watershed.
  • E. Columbia
    Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
  • F. None of above. chosen

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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14c83f08190b1028f4929866db4 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16eebaa48190acb66cb50c02ed7f completed March 7, 2026, 12:15 p.m.
NEDg Description generation batch_69ac1787a9ac81908f032cd893d3efe8 completed March 7, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ac1807aa388190ad2910966c9d1b04 completed March 7, 2026, 12:20 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.