Triple
T22670805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mars Needs Guitars! |
E559911
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bittersweet |
—
|
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: Bittersweet | Statement: [Mars Needs Guitars!, hasPart, Bittersweet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bittersweet Context triple: [Mars Needs Guitars!, hasPart, Bittersweet]
-
A.
Bittersweet
"Bittersweet" is a graphic art book by illustrator Noma Bar, showcasing his distinctive use of negative space and bold, minimalist imagery.
-
B.
Bittersweet
"Bittersweet" is a dance-pop single by English singer Sophie Ellis-Bextor, known for its shimmering electronic production and bittersweet lyrical themes.
-
C.
Bittersweet
Bittersweet is a studio album by Australian country singer-songwriter Kasey Chambers, noted for its emotionally rich songwriting and roots-influenced sound.
-
D.
Bittersweet
chosen
"Bittersweet" is a song featured on James Taylor's 2002 studio album "October Road."
-
E.
Bittersweet
Bittersweet was a small New York community that was permanently flooded and abandoned during the creation of the Neversink Reservoir.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781f946c8190add74a7dac2b1819 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.