Triple
T20410268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All the Lost Souls |
E500569
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I'll Take Everything |
—
|
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: I'll Take Everything | Statement: [All the Lost Souls, hasPart, I'll Take Everything]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'll Take Everything Context triple: [All the Lost Souls, hasPart, I'll Take Everything]
-
A.
I'll Take Everything
chosen
"I'll Take Everything" is a song by James Blunt featured on his album "All the Lost Souls."
-
B.
Take It All
"Take It All" is a dramatic song performed by Marion Cotillard in the 2009 musical film *Nine*, known for its emotional intensity and central role in the movie’s narrative.
-
C.
Never Take It
"Never Take It" is a song by American musical duo Twenty One Pilots from their 2021 album *Scaled and Icy*, blending alternative rock and pop elements with socially conscious lyrics.
-
D.
Take What You Take
"Take What You Take" is a song by English singer Lily Allen from her debut studio album "Alright, Still."
-
E.
I Take What I Want
"I Take What I Want" is a soul/R&B song popularized by Aretha Franklin, showcasing her powerful vocals and energetic, groove-driven style.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.