Triple
T13127574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Slater |
E311881
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bed of Roses |
E277599
|
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: Bed of Roses | Statement: [Christian Slater, notableWork, Bed of Roses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bed of Roses Context triple: [Christian Slater, notableWork, Bed of Roses]
-
A.
Bed of Roses
chosen
Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
-
B.
Bed of Roses
"Bed of Roses" is a power ballad by American rock band Bon Jovi, known for its emotional lyrics and soaring melody, released in the early 1990s.
-
C.
Coming Up Roses
"Coming Up Roses" is a song performed by singer-songwriter Gretta James.
-
D.
Only a Rose
"Only a Rose" is a romantic song from the 1925 operetta "The Vagabond King," composed by Rudolf Friml and widely recognized as one of his signature melodies.
-
E.
Buy Me a Rose
"Buy Me a Rose" is a country song most famously recorded by Kenny Rogers, known for its tender narrative about love expressed through small, everyday gestures.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819aac388190b59bf43cc6a49d0c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28e922881909584296adc95d9b4 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:07 p.m.