Triple
T19859239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder Ballads |
E477212
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Let Love In |
—
|
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: Let Love In | Statement: [Murder Ballads, follows, Let Love In]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Love In Context triple: [Murder Ballads, follows, Let Love In]
-
A.
Let Love In
chosen
Let Love In is a 2006 studio album by American rock band Goo Goo Dolls, featuring a polished alternative rock sound and singles like "Better Days" and "Stay with You."
-
B.
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.
-
C.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
-
D.
In Love
"In Love" is a high-energy garage rock track by New Zealand band The Datsuns, known for its raw riffs and retro hard rock style.
-
E.
This Love
"This Love" is a moody, atmospheric ballad by Taylor Swift from her pop album 1989, reflecting on the cyclical nature of a rekindled romance.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586e8b648190bb650d7f2816dda1 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.