Triple
T14641802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokka |
E343741
|
entity |
| Predicate | romanticRelationship |
P9994
|
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, romanticRelationship, Suki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suki Context triple: [Sokka, romanticRelationship, 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_69fde170d4a0819087caeacf39f95954 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:26 a.m.