Triple
T4994882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Fang |
E112220
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Kiche |
E428477
|
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: Kiche | Statement: [White Fang, hasCharacter, Kiche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiche Context triple: [White Fang, hasCharacter, Kiche]
-
A.
Kiche
chosen
Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
-
B.
Kuchela
Kuchela is a revered devotee and childhood friend of Lord Krishna in Hindu tradition, celebrated for his poverty, humility, and unwavering devotion.
-
C.
Mekoche
Mekoche is one of the principal divisions of the Shawnee people, historically recognized as a distinct clan or band within the larger Shawnee nation.
-
D.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
E.
Kile
Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd729e9fb48190a467b6a373a73367 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a30bb988190939e1ca5226e1dd4 |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.