Triple
T18092566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One More Cup of Coffee (Valley Below) |
E433006
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Desire |
—
|
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: Desire | Statement: [One More Cup of Coffee (Valley Below), partOf, Desire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desire Context triple: [One More Cup of Coffee (Valley Below), partOf, Desire]
-
A.
Desire
Desire is a 1936 romantic comedy crime film starring Marlene Dietrich and Gary Cooper, noted for its blend of sophisticated humor and jewel-heist intrigue.
-
B.
Desire
"Desire" is a politically charged hip-hop album by Pharoahe Monch known for its intricate lyricism and soulful, socially conscious production.
-
C.
Desire
"Desire" is a jazz vocal album by The Tierney Sutton Band that showcases their nuanced, concept-driven approach to standards and thematic interpretation.
-
D.
Desire
chosen
Desire is a 1976 studio album by Bob Dylan, noted for its storytelling lyrics, prominent violin arrangements, and songs like "Hurricane" and "Sara."
-
E.
Desire
"Desire" is a hit rock song by U2, known for its Bo Diddley–inspired rhythm and prominent role in the band's late-1980s work.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.