Triple
T20122713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolution Radio |
E490652
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Say Goodbye |
—
|
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: Say Goodbye | Statement: [Revolution Radio, hasPart, Say Goodbye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Say Goodbye Context triple: [Revolution Radio, hasPart, Say Goodbye]
-
A.
Say Goodbye
chosen
"Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
-
B.
Say Goodbye
"Say Goodbye" is a psychological crime thriller novel by Lisa Gardner featuring FBI Special Agent Kimberly Quincy as she investigates a series of disturbing abductions linked to a sadistic predator.
-
C.
Say Goodbye
"Say Goodbye" is a song by American singer-songwriter Norah Jones from her 2012 album *Little Broken Hearts*, blending melancholic lyrics with a subdued, atmospheric pop sound.
-
D.
Say Goodbye
"Say Goodbye" is a mellow, introspective folk-rock song by Beck from his critically acclaimed 2014 album *Morning Phase*.
-
E.
Say Goodbye
"Say Goodbye" is a contemporary R&B song best known for showcasing producer Antonio Dixon’s smooth, emotive style and polished, radio-friendly sound.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673f5b4c8190bf9fb5f4e6b6a452 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.