Triple
T3127829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water (song) |
E65338
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Water |
E65338
|
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: Water | Statement: [Water (song), title, Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Water Context triple: [Water (song), title, Water]
-
A.
Water
chosen
"Water" is a gospel-infused hip-hop track by Kanye West from his 2019 album *Jesus Is King*, noted for its minimalist production and spiritual, cleansing-themed lyrics.
-
B.
Freshwater
Freshwater is a large village and popular tourist destination on the western side of the Isle of Wight in England, known for its coastal scenery and nearby chalk cliffs.
-
C.
Rivers
Rivers is a surname shared by various notable individuals across fields such as politics, sports, entertainment, and the arts.
-
D.
WaterWorld
WaterWorld is a popular live-action stunt show at Universal Studios themed around the post-apocalyptic film of the same name, featuring pyrotechnics, jet-ski chases, and large-scale water effects.
-
E.
King Water
King Water is a small river in Cumbria, England, that serves as one of the tributaries feeding into the River Eden.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada546a6648190bc4bc3e599e6aa95 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7926248190b8f08e3a626e8eab |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.