Triple
T17397235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Change |
E422984
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Positivity |
—
|
NE NERFINISHED |
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: Positivity | Statement: [Lost Change, hasTrack, Positivity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Positivity Context triple: [Lost Change, hasTrack, Positivity]
-
A.
Positivity
chosen
"Positivity" is the uplifting, spiritually themed closing track on Prince's 1988 album *Lovesexy*.
-
B.
Positivity
"Positivity" is a song featured on Stevie Wonder's 2005 album *A Time to Love*, known for its uplifting message and soulful, socially conscious style.
-
C.
Strength Through Joy
Strength Through Joy was a Nazi-era state-operated leisure and tourism organization designed to promote regime ideology by providing subsidized vacations, cultural events, and recreational activities to German workers.
-
D.
Joy
Joy is a given name used for people of any gender, derived from the English word expressing happiness and delight.
-
E.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abe6f708190944aad636e1eb9a1 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.