Triple
T17188807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsunami |
E417172
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | W. I. Z. |
E1255633
|
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: W. I. Z. | Statement: [Tsunami, musicVideoDirector, W. I. Z.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W. I. Z. Context triple: [Tsunami, musicVideoDirector, W. I. Z.]
-
A.
W. I. Z.
chosen
W. I. Z. is a British music video director known for his visually distinctive and often politically charged work for prominent rock and alternative bands.
-
B.
WZ
WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
-
C.
WZE
WZE is a Polish defense electronics company specializing in the development, production, and modernization of military electronic systems and equipment.
-
D.
ZI
ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
-
E.
WZZ
WZZ is the ICAO airline designator used for Wizz Air, a major Central and Eastern European low-cost carrier.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d97b9808190aa1900775cd3dfd5 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674a3a78819094c093daac0e508d |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:37 a.m.