Triple
T23191303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Perren |
E579741
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Love You Save |
—
|
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: The Love You Save | Statement: [Freddie Perren, notableWork, The Love You Save]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Love You Save Context triple: [Freddie Perren, notableWork, The Love You Save]
-
A.
The Love You Save
chosen
"The Love You Save" is a 1970 Motown soul single by the Jackson 5, known for its upbeat sound, socially conscious lyrics, and Michael Jackson's dynamic lead vocal.
-
B.
Save Your Love
"Save Your Love" is a power ballad by the American hard rock band Great White, known for its melodic guitar work and emotive vocals that helped define the band's late-1980s sound.
-
C.
Let Love
Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
-
D.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
-
E.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd777c08190bf79e38844fedf27 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.