Triple
T6684001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanson |
E152053
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Where's the Love |
E39407
|
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: Where's the Love | Statement: [Hanson, notableSong, Where's the Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Where's the Love Context triple: [Hanson, notableSong, Where's the Love]
-
A.
Where Is the Love?
chosen
"Where Is the Love?" is a socially conscious pop-rap song by the Black Eyed Peas that addresses themes of war, terrorism, racism, and inequality, and became one of the group's signature global hits.
-
B.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
C.
We Got the Love
"We Got the Love" is a song by American singer Chaka Khan, known for her powerful vocals and influential contributions to funk, R&B, and soul music.
-
D.
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.
-
E.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b122df14819082068af37611b691 |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7ae8f388190a3c78c89b7293804 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.