Triple
T14727985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Write Me Back |
E345992
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Love Is |
E1115308
|
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: Love Is | Statement: [Write Me Back, hasTrack, Love Is]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Is Context triple: [Write Me Back, hasTrack, Love Is]
-
A.
Love Is
"Love Is" is an R&B studio album by American singer and American Idol winner Ruben Studdard.
-
B.
Love Is
chosen
"Love Is" is a song featured on the album *Love Letter*, likely thematically centered on exploring the nature and emotions of love.
-
C.
Love Is a Song
"Love Is a Song" is a classic Disney song featured in the 1942 animated film Bambi, known for its gentle, lyrical celebration of love and nature.
-
D.
Love Is On
"Love Is On" is a marketing slogan used by Revlon to promote its beauty and cosmetics products with a focus on passion, romance, and emotional connection.
-
E.
Your Love
"Your Love" is a pop and R&B song best known as a hit single co-written and produced by Pop Wansel.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb87ef7c8190a46f317e5475d40e |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.