Triple
T21876732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Encore: Movie Partners Sing Broadway |
E540161
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Take Me to the World |
—
|
NE NERFINISHED |
How this triple was built (3 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 to the World | Statement: [Encore: Movie Partners Sing Broadway, includesSong, Take Me to the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take Me to the World Context triple: [Encore: Movie Partners Sing Broadway, includesSong, Take Me to the World]
-
A.
Take Me to Your World
"Take Me to Your World" is a classic country song popularized by Tammy Wynette that became one of her early signature hits.
-
B.
Take Me to the Light
"Take Me to the Light" is a collaborative song by Francis and the Lights featuring Bon Iver and Kanye West, known for its ethereal production and emotive, layered vocals.
-
C.
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.
-
D.
I Want the World
"I Want the World" is a prominent musical number from the Broadway adaptation of Anne Rice’s Vampire Chronicles, showcasing the character Lestat’s ambition and dark charisma.
-
E.
Take Me to the Water
"Take Me to the Water" is a gospel-influenced song powerfully interpreted by Nina Simone, reflecting her deep spiritual and emotional style.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Take Me to the World Target entity description: "Take Me to the World" is a Stephen Sondheim song from the 1966 television musical "Evening Primrose," known for its poignant, yearning lyrics and frequent revival in cabaret and concert performances.
-
A.
Take Me to Your World
"Take Me to Your World" is a classic country song popularized by Tammy Wynette that became one of her early signature hits.
-
B.
Take Me to the Light
"Take Me to the Light" is a collaborative song by Francis and the Lights featuring Bon Iver and Kanye West, known for its ethereal production and emotive, layered vocals.
-
C.
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.
-
D.
I Want the World
"I Want the World" is a prominent musical number from the Broadway adaptation of Anne Rice’s Vampire Chronicles, showcasing the character Lestat’s ambition and dark charisma.
-
E.
Take Me to the Water
"Take Me to the Water" is a gospel-influenced song powerfully interpreted by Nina Simone, reflecting her deep spiritual and emotional style.
- F. None of above. chosen
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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33a4e608190bd25bfa3fb5cac10 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.