Triple
T6291277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunechi |
E141023
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Tunechie |
E141023
|
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: Tunechie | Statement: [Tunechi, hasAlternativeSpelling, Tunechie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunechie Context triple: [Tunechi, hasAlternativeSpelling, Tunechie]
-
A.
Tunechi
chosen
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Chinnaru
Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
-
D.
Tikun
Tikun is a central Kabbalistic concept referring to the spiritual rectification and restoration of cosmic and personal harmony.
-
E.
Yuja
Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5197f0f9c81909f5b6de50e61560c |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.