Triple
T18030896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Rose |
E431385
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Leave |
—
|
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: Leave | Statement: [Black Rose, hasPart, Leave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leave Context triple: [Black Rose, hasPart, Leave]
-
A.
Leave
chosen
"Leave" is a song by Japanese musician Perfume Genius from his critically acclaimed 2020 album "Set My Heart on Fire Immediately."
-
B.
Exit
Exit is a 1981 electronic music album by German group Tangerine Dream, known for its atmospheric, synthesizer-driven soundscapes.
-
C.
Exit
"Exit" is a song by U2 from their acclaimed 1987 album *The Joshua Tree*, noted for its dark themes and intense, atmospheric sound.
-
D.
EXIT
EXIT is a major annual summer music festival held at the Petrovaradin Fortress in Novi Sad, Serbia, known for its diverse international lineup and historic open-air setting.
-
E.
Salir
Salir is a small village and civil parish in the municipality of Loulé in Portugal’s Algarve region, known for its rural character and historical castle ruins.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.