Triple
T22369530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zik |
E553002
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Zik |
—
|
NE NERFINISHED |
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: Zik | Statement: [Zik, nickname, Zik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zik Context triple: [Zik, nickname, Zik]
-
A.
Zik
chosen
Zik is the popular nickname of Nnamdi Azikiwe, a leading Nigerian nationalist and the first President of Nigeria.
-
B.
Zikz
Zikz is the in-game name of Tony "Zikz" Gray, a professional esports coach best known for his work in competitive League of Legends.
-
C.
Zikim
Zikim is a kibbutz in southern Israel near the Gaza Strip, known for its agriculture, beach, and proximity to the border.
-
D.
Chaka
"Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
-
E.
Chaka
Chaka is the given name of American politician Chaka Fattah, who represented Pennsylvania in the U.S. House of Representatives.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158032b748190ad36c7e3809304e9 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.