Triple
T12258292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Wiz |
E292155
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Big Wiz |
E292155
|
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: Big Wiz | Statement: [Big Wiz, alsoKnownAs, Big Wiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Wiz Context triple: [Big Wiz, alsoKnownAs, Big Wiz]
-
A.
Big Wiz
chosen
Big Wiz is the popular moniker of Nigerian singer and global Afrobeats star Wizkid.
-
B.
Wiz
Wiz is a music video director known for creating visually distinctive videos, including work on the video for "Spaceman."
-
C.
The Wizrd
The Wizrd is a 2019 studio album by American rapper Future that showcases his signature trap sound and introspective themes.
-
D.
Hit Wizard
A Hit Wizard is a specialized law-enforcement officer in the Harry Potter universe responsible for handling dangerous magical criminals and high-risk operations under the Ministry of Magic.
-
E.
Zarniwoop
Zarniwoop is a mysterious and manipulative executive from Douglas Adams’ "The Hitchhiker’s Guide to the Galaxy" series, involved in high-level bureaucratic schemes surrounding the Guide.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abfc8588190ab9300c6e5e59092 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.