Triple

T2567429
Position Surface form Disambiguated ID Type / Status
Subject Apache E57384 entity
Predicate hasNotableLeader P981 FINISHED
Object Victorio E237446 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: Victorio | Statement: [Apache, hasNotableLeader, Victorio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victorio
Context triple: [Apache, hasNotableLeader, Victorio]
  • A. Victorio chosen
    Victorio was a prominent 19th-century Apache war leader known for his skilled guerrilla resistance against U.S. and Mexican forces.
  • B. Anthony van Diemen
    Anthony van Diemen was a 17th-century Dutch colonial administrator best known for expanding Dutch influence in Asia and for lending his name to Van Diemen’s Land, now Tasmania.
  • C. Benito
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • D. Nelson
    Nelson is a masculine given name of English origin that has been borne by various notable figures in politics, sports, and the arts.
  • E. Nelson
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3602ed08190aad0f9c7ac577eb0 completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6565e05081909dc12aa3240de5f2 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.