Triple
T12234415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raised on Radio |
E291554
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Be Good to Yourself |
E291538
|
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: Be Good to Yourself | Statement: [Raised on Radio, notableSingle, Be Good to Yourself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Be Good to Yourself Context triple: [Raised on Radio, notableSingle, Be Good to Yourself]
-
A.
Be Good to Yourself
chosen
"Be Good to Yourself" is a 1986 rock single by American band Journey, known for its uplifting lyrics and anthemic arena-rock sound.
-
B.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
-
C.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
-
D.
Good to You
Good to You is a component or aspect of the broader concept of Quality, likely representing a specific feature, benefit, or value perceived as positive by an individual.
-
E.
Good for Me
"Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca5a06481908c7c6b715b9f6713 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9057408190a25f44d773b2b178 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:51 p.m.