Triple
T4807494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinnamon Girl |
E106981
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object | Sugar Mountain |
E472193
|
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: Sugar Mountain | Statement: [Cinnamon Girl, hasBside, Sugar Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Mountain Context triple: [Cinnamon Girl, hasBside, Sugar Mountain]
-
A.
Sugar Mountain
chosen
"Sugar Mountain" is a beloved Neil Young song, written when he was a teenager, that nostalgically reflects on the loss of youth and innocence.
-
B.
Moonlight Mile
Moonlight Mile is a crime novel by Dennis Lehane that revisits private investigators Patrick Kenzie and Angela Gennaro as they confront the consequences of a child abduction case from their past.
-
C.
Island in the Sun
"Island in the Sun" is a 1957 calypso-style song by Harry Belafonte that became one of his signature hits and is closely associated with Caribbean themes and imagery.
-
D.
Island in the Sun
"Island in the Sun" is a mellow, melodic pop-rock song by Weezer that became one of the band's most popular and enduring hits.
-
E.
My Blue Heaven
My Blue Heaven is a 1950 American musical comedy film best known for its lighthearted story and performances by stars like Jane Wyatt.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c69099c8190956b6df42bb922c8 |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ca47a588190ac15fabfdab8b2da |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:23 p.m.