Triple

T4482317
Position Surface form Disambiguated ID Type / Status
Subject Diego Rivera E100163 entity
Predicate familyName P18 FINISHED
Object Rivera E114090 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: Rivera | Statement: [Diego Rivera, familyName, Rivera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rivera
Context triple: [Diego Rivera, familyName, Rivera]
  • A. Rivera chosen
    Rivera is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • B. La Plata River
    La Plata River is a major river in Puerto Rico that flows through several municipalities, including Bayamón, before emptying into the Atlantic Ocean.
  • C. La Plata River
    La Plata River is a watercourse known for flowing through regions inhabited by the prized game fish dorado in South America.
  • D. Rio Hondo
    Rio Hondo is a major urban stream in Los Angeles County that serves as a key tributary to the Los Angeles River and plays an important role in regional flood control and water management.
  • E. Salí River
    The Salí River is a major watercourse in northern Argentina that supports regional agriculture, hydroelectric power generation, and urban water supply.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65140f9a08190856442534ff46e37 completed March 15, 2026, 6:27 a.m.
Created at: March 12, 2026, 11:36 p.m.