Triple
T6577940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roel van Velzen |
E157215
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Take Me In |
E599407
|
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: Take Me In | Statement: [Roel van Velzen, notableAlbum, Take Me In]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take Me In Context triple: [Roel van Velzen, notableAlbum, Take Me In]
-
A.
Take Me In
chosen
"Take Me In" is a song by Dutch singer-songwriter Roel van Velzen, known for its melodic pop-rock style and emotive vocals.
-
B.
Take Me
"Take Me" is a 2017 dark comedy film about a struggling entrepreneur who runs a simulated kidnapping service that spirals out of control when he takes on an unusually mysterious client.
-
C.
Take Me as I Am
"Take Me as I Am" is the debut studio album by American country singer Faith Hill, featuring a blend of contemporary and traditional country that launched her to mainstream success.
-
D.
Take Me for a Little While
"Take Me for a Little While" is a 1965 soul-pop song, first recorded by Evie Sands and later popularized by artists like Jackie Ross and Dusty Springfield.
-
E.
Take Me Away
"Take Me Away" is a song featured on the album "Evolver."
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae74fd90819091d67eec6381d5e0 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56fe8f08190ad30773f29b207c5 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.