Triple
T8758260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuikuro language |
E208125
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Kuikuro |
E755554
|
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: Kuikuro | Statement: [Kuikuro language, ethnicGroup, Kuikuro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuikuro Context triple: [Kuikuro language, ethnicGroup, Kuikuro]
-
A.
Kuikuro
chosen
Kuikuro is a Cariban language spoken by the Kuikuro people of Brazil’s Upper Xingu region in the Amazon.
-
B.
Kannon
Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
-
C.
Tarkus
Tarkus is a 1971 progressive rock album by Emerson, Lake & Palmer, renowned for its ambitious multi-part title suite and complex, keyboard-driven compositions.
-
D.
Kokoro
Kokoro is a classic Japanese novel by Natsume Sōseki that explores themes of isolation, guilt, and the complexities of human relationships during Japan’s transition to modernity.
-
E.
Sayonara
"Sayonara" is a 1957 romantic drama film set during the Korean War, best known for starring Marlon Brando and addressing interracial relationships and prejudice.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddc2d9c81908948aee2b956cce4 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf519175248190b53c8958cfeeebfa |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:40 p.m.