Triple
T8426439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillon Francis |
E199004
|
entity |
| Predicate | releasedAlbum |
P25507
|
FINISHED |
| Object |
WUT WUT
WUT WUT is an electronic dance music album by American DJ and producer Dillon Francis, known for its Latin-influenced tracks and collaborations with various reggaeton and Latin artists.
|
E733304
|
NE FINISHED |
How this triple was built (4 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: WUT WUT | Statement: [Dillon Francis, releasedAlbum, WUT WUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WUT WUT Context triple: [Dillon Francis, releasedAlbum, WUT WUT]
-
A.
WTF
WTF is the Australian Securities Exchange (ASX) ticker symbol for Wotif Group, an online travel booking company.
-
B.
WUG
WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
-
C.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
D.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
E.
WÜ
WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WUT WUT Triple: [Dillon Francis, releasedAlbum, WUT WUT]
Generated description
WUT WUT is an electronic dance music album by American DJ and producer Dillon Francis, known for its Latin-influenced tracks and collaborations with various reggaeton and Latin artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WUT WUT Target entity description: WUT WUT is an electronic dance music album by American DJ and producer Dillon Francis, known for its Latin-influenced tracks and collaborations with various reggaeton and Latin artists.
-
A.
WTF
WTF is the Australian Securities Exchange (ASX) ticker symbol for Wotif Group, an online travel booking company.
-
B.
WUG
WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
-
C.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
D.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
E.
WÜ
WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
- F. None of above. chosen
Provenance (5 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a37e388190b2a7ab8e6966baac |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0364f294819091ef9f39429f3fb5 |
completed | April 2, 2026, 5:49 a.m. |
| NEDg | Description generation | batch_69ce07837648819080cd4026af55b246 |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce083cee848190b27a7dd19a16a0dc |
completed | April 2, 2026, 6:10 a.m. |
Created at: March 30, 2026, 6:07 p.m.