Triple
T3970631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knock Knock |
E92323
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | River Guard |
E313350
|
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 Guard | Statement: [Knock Knock, hasTrack, River Guard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Guard Context triple: [Knock Knock, hasTrack, River Guard]
-
A.
River Guard
chosen
"River Guard" is a song by the Mountain Goats, the indie folk-rock project of singer-songwriter John Darnielle.
-
B.
River Arrow
The River Arrow is a small river in the Welsh Marches of the United Kingdom, flowing through Herefordshire and Powys and joining the River Lugg.
-
C.
River Can
River Can is a small river in Essex, England, that flows through the city of Chelmsford and forms part of the River Chelmer system.
-
D.
Riverbank
Riverbank is a small city in California’s Central Valley known for its agricultural surroundings and suburban residential character.
-
E.
River God
River God is a historical adventure novel by Wilbur Smith set in ancient Egypt, following the slave Taita through political intrigue, war, and romance along the Nile.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9942c908190aface17a4e8d356d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400b75d081909b8e4840b15d19f1 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.