Triple
T8775678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seal I |
E208574
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Deep Water |
E208576
|
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: Deep Water | Statement: [Seal I, includesSong, Deep Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Water Context triple: [Seal I, includesSong, Deep Water]
-
A.
Deep Water
chosen
"Deep Water" is a soulful, introspective song by British singer Seal from his self-titled debut album, blending atmospheric production with emotive vocals.
-
B.
Ocean Deep
Ocean Deep is an episode of the documentary series "Planet Earth" that explores the mysterious and extreme environments of the world's deepest oceans and the unique life forms that inhabit them.
-
C.
Deep Sea
Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
-
D.
Blue Water
Blue Water is an Amtrak passenger rail service operating in the Midwest, primarily connecting Chicago with cities in Michigan.
-
E.
High Water Everywhere
"High Water Everywhere" is a seminal 1929 Delta blues song by Charley Patton that vividly chronicles the devastation of the Great Mississippi Flood.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f30428881909de72c08972224f0 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51ceee2c81908d521cc4931e25dd |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:41 p.m.