Triple
T675539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs in A Minor |
E13068
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Butterflyz |
E65014
|
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: Butterflyz | Statement: [Songs in A Minor, hasPart, Butterflyz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butterflyz Context triple: [Songs in A Minor, hasPart, Butterflyz]
-
A.
Butterflyz
chosen
"Butterflyz" is a soulful R&B ballad by Alicia Keys from her debut album "Songs in A Minor."
-
B.
The Peacocks
The Peacocks is a traditional nickname for English football club Leeds United, referencing the historic Old Peacock pub near their Elland Road stadium.
-
C.
Buccos
Buccos is a popular nickname for the Pittsburgh Pirates Major League Baseball team.
-
D.
The Elephants
The Elephants is a surrealist painting by Salvador Dalí featuring elongated, spindly-legged elephants that symbolize the contrast between weight and fragility.
-
E.
Svans
Svans are a distinct subethnic group of Georgians known for their unique Svan language, highland culture, and traditional communities in the Svaneti region of the Caucasus.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a1b6588190b0c9215afb3a9200 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.