Triple
T9368249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue (album) |
E225463
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | River |
E44527
|
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: River | Statement: [Blue (album), notableSong, River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Context triple: [Blue (album), notableSong, River]
-
A.
River
chosen
"River" is a melancholic 1971 folk song by Joni Mitchell, often associated with the holiday season and emotional heartbreak.
-
B.
River
"River" is a 2001 rock album by former Guns N' Roses guitarist Izzy Stradlin, noted for its laid-back, rootsy sound blending rock, blues, and Americana influences.
-
C.
Stream
Stream is Microsoft's enterprise video service within Microsoft 365 that enables secure creation, sharing, and management of organizational video content.
-
D.
Or River
The Or River is a waterway in Russia and Kazakhstan that flows through the southern Ural region before joining the Ural River.
-
E.
Rivers
Rivers is a surname shared by various notable individuals across fields such as politics, sports, entertainment, and the arts.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd507f9ed8819092967b204faa4408 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100d68d28819082f366f3b5493cfb |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:43 p.m.