Triple

T571564
Position Surface form Disambiguated ID Type / Status
Subject Charles E13673 entity
Predicate isCognateOf P2527 FINISHED
Object Carlos E55653 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: Carlos | Statement: [Charles, isCognateOf, Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos
Context triple: [Charles, isCognateOf, Carlos]
  • A. Carlos chosen
    Carlos is a common Spanish given name widely used across Spanish-speaking countries and communities.
  • B. Francisco
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • C. Charles IV of Spain
    Charles IV of Spain was a late 18th- and early 19th-century Bourbon king whose weak rule and reliance on favorites contributed to political instability and the circumstances leading to the Peninsular War and the decline of Spanish power.
  • D. Ferdinand
    Ferdinand is a masculine given name of Germanic origin historically borne by numerous European nobles and monarchs.
  • E. Louis I of Spain
    Louis I of Spain was a short-reigning early 18th-century Bourbon king who briefly ruled Spain in 1724 before dying of smallpox at age seventeen.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b483ac08190b3be152a7cf42011 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56930dfd88190a991adafc406c5ac completed March 2, 2026, 10:40 a.m.
Created at: March 1, 2026, 7:33 p.m.