Triple
T3211576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence and the Machine |
E67292
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | You’ve Got the Love |
E336961
|
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: You’ve Got the Love | Statement: [Florence and the Machine, notableWork, You’ve Got the Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You’ve Got the Love Context triple: [Florence and the Machine, notableWork, You’ve Got the Love]
-
A.
You Got the Love
chosen
"You Got the Love" is a classic soul and dance track, best known in its 1991 version by The Source featuring Candi Staton and widely regarded as an influential anthem in club and electronic music.
-
B.
You’ve Got It
"You’ve Got It" is a song by American country singer Billy Ray Cyrus from his 1992 debut album "Some Gave All."
-
C.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
D.
Nothin’ But Love
"Nothin’ But Love" is a song by Whitney Houston from her 2009 studio album "I Look to You."
-
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 (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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaaba224c8190ad2f4e0ed1c2ca4a |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2771204e0819086ae2838a368589a |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:07 p.m.