Triple

T14641801
Position Surface form Disambiguated ID Type / Status
Subject Sokka E343741 entity
Predicate loveInterest P7325 FINISHED
Object Suki E1091773 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: Suki | Statement: [Sokka, loveInterest, Suki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suki
Context triple: [Sokka, loveInterest, Suki]
  • A. Suki chosen
    Suki is a feminine given name, often used in English-speaking contexts and associated with figures in entertainment and popular culture.
  • B. Sook
    Sook is the elderly, eccentric, and deeply kind cousin who serves as the narrator’s beloved companion in Truman Capote’s autobiographical short story “A Christmas Memory.”
  • C. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • D. Saoko
    "Saoko" is a 2022 experimental reggaeton and jazz-infused track by Spanish singer Rosalía, known for its bold production, genre-blending sound, and role as a standout single from her album "Motomami."
  • E. Kumiko
    Kumiko is a feminine Japanese given name that can be written with various kanji characters, often carrying meanings related to beauty, longevity, or companionship.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.