Triple

T2816345
Position Surface form Disambiguated ID Type / Status
Subject Princess Angeline E54296 entity
Predicate givenName P17 FINISHED
Object Kikisebloo E300796 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: Kikisebloo | Statement: [Princess Angeline, givenName, Kikisebloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kikisebloo
Context triple: [Princess Angeline, givenName, Kikisebloo]
  • A. Kikisoblu chosen
    Kikisoblu, better known as Princess Angeline, was the eldest daughter of Chief Seattle and a notable Duwamish woman who became a symbolic figure in early Seattle history.
  • B. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • C. Korekore
    Korekore is a major dialect of the Shona language spoken primarily in northern Zimbabwe.
  • D. Koiak
    Koiak is the fourth month of the Coptic calendar, traditionally associated with preparations for the Nativity and rich liturgical hymns and rituals.
  • E. Kikkamonshō
    Kikkamonshō is the Japanese name for the chrysanthemum crest that serves as the Imperial Seal of Japan, symbolizing the authority and heritage of the Japanese imperial family.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4ed4ac81909f1ec4a3f7869bc1 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8aecd5081909b38d229904e5bde completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:59 p.m.