Triple
T10262191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diplo |
E240624
|
entity |
| Predicate | notableSongProduced |
P8087
|
FINISHED |
| Object | Cold Water |
E761167
|
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: Cold Water | Statement: [Diplo, notableSongProduced, Cold Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cold Water Context triple: [Diplo, notableSongProduced, Cold Water]
-
A.
Cold Water
chosen
"Cold Water" is a 2016 electronic dance-pop single by Major Lazer featuring Justin Bieber and MØ that achieved international chart success.
-
B.
Chilly Water
"Chilly Water" is a fan-favorite jam-rock song by the American band Widespread Panic, often celebrated for its energetic live performances and audience participation.
-
C.
Cool Water
"Cool Water" is a classic Western cowboy song, popularized by the Sons of the Pioneers, that evokes the hardships of desert travel and the longing for water.
-
D.
Ice Water
"Ice Water" is a track by Raekwon that exemplifies the gritty, cinematic street narratives and dense wordplay characteristic of mid-1990s Wu-Tang Clan–era hip-hop.
-
E.
Ice Cold
Ice Cold is a suspenseful crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles stranded with a deadly secret in a remote, abandoned Wyoming community.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25c8dec8190af9160d9338ffc9c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f81dd481909022efde8fc46e68 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:32 a.m.