Triple
T23191055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost in Love |
E579733
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Lost in Love (album) |
—
|
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: Lost in Love (album) | Statement: [Lost in Love, partOf, Lost in Love (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost in Love (album) Context triple: [Lost in Love, partOf, Lost in Love (album)]
-
A.
Lost in Love
"Lost in Love" is a song by the American R&B group New Edition, showcasing their signature harmonies and romantic ballad style.
-
B.
Lost in Love
chosen
"Lost in Love" is a song best known as a soft rock ballad popularized by the Australian duo Air Supply.
-
C.
Long Lost Love
Long Lost Love is a film associated with filmmaker and actress Sasha Czack, recognized as one of her notable creative works.
-
D.
Lost and Love
Lost and Love is a 2015 Chinese drama film inspired by real child abduction cases, following a father's years-long search for his missing son.
-
E.
No Love Lost
"No Love Lost" is a track featured on Shaquille O'Neal's 1996 hip-hop album "You Can't Stop the Reign."
- 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.