Triple
T22127033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me Home |
E546814
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Truly Madly Deeply |
—
|
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: Truly Madly Deeply | Statement: [Take Me Home, hasPart, Truly Madly Deeply]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truly Madly Deeply Context triple: [Take Me Home, hasPart, Truly Madly Deeply]
-
A.
Truly, Madly, Deeply
chosen
"Truly, Madly, Deeply" is a 1990 British romantic fantasy film blending grief, love, and the supernatural, written and directed by Anthony Minghella.
-
B.
The Deeper the Love
"The Deeper the Love" is a power ballad by the English hard rock band Whitesnake, released in 1990 and known for its melodic hooks and emotive vocals.
-
C.
How Deep Is Your Love
"How Deep Is Your Love" is a soft rock ballad by the Bee Gees, widely recognized as one of their signature hits and a classic of the late 1970s.
-
D.
How Deep Is Your Love
"How Deep Is Your Love" is an R&B song by Keith Sweat, known for its smooth vocals and romantic, slow-jam style.
-
E.
In Too Deep
"In Too Deep" is a popular pop-punk song by Canadian band Sum 41, best known for its catchy hooks and iconic music video featuring a humorous diving competition.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.