Triple
T18048293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natural Love |
E431858
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Natural Love |
—
|
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: Natural Love | Statement: [Natural Love, title, Natural Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natural Love Context triple: [Natural Love, title, Natural Love]
-
A.
Natural Love
chosen
Natural Love is a song featured on the album "What Comes Naturally."
-
B.
Normal Love
"Normal Love" is an underground 1960s experimental film by Jack Smith, known for its surreal, camp aesthetic and featuring Warhol superstar Mario Montez.
-
C.
Unconditional Love
"Unconditional Love" is a pop ballad by Victoria Beckham that reflects themes of unwavering affection and emotional devotion.
-
D.
Unconditional Love
Unconditional Love is a 2002 comedy film about an unfulfilled housewife who teams up with a murdered singer’s lover to solve his death, blending quirky humor with themes of self-discovery and acceptance.
-
E.
Unconditional Love
"Unconditional Love" is a song by bassist and singer-songwriter Esperanza Spalding from her genre-blending concept album *Emily’s D+Evolution*.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff39394819080407e1614bd5da9 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.