Triple
T12214077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Kamen |
E291037
|
entity |
| Predicate | coWrote |
P7732
|
FINISHED |
| Object | (Everything I Do) I Do It for You |
E208269
|
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: (Everything I Do) I Do It for You | Statement: [Michael Kamen, coWrote, (Everything I Do) I Do It for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: (Everything I Do) I Do It for You Context triple: [Michael Kamen, coWrote, (Everything I Do) I Do It for You]
-
A.
(Everything I Do) I Do It for You
chosen
"(Everything I Do) I Do It for You" is a power ballad by Bryan Adams that became a worldwide hit in 1991, best known as the theme song for the film "Robin Hood: Prince of Thieves."
-
B.
All I Do
"All I Do" is a soulful R&B song by Stevie Wonder from his 1980 album "Hotter than July," known for its smooth groove and romantic lyrics.
-
C.
All I Do
"All I Do" is a song featured on the country music album "Blue Collar."
-
D.
I Do
"I Do" is a song featured on the album "Driving Rain" by Paul McCartney.
-
E.
I Do
"I Do" is a music album by Canadian actress and singer Jill Hennessy, showcasing her blend of folk, rock, and country influences.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c931cec819083ca19be06a33e1c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5882408190b4853f3a11c249c2 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.