Triple
T2289697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberation |
E51472
|
entity |
| Predicate | singleFrom |
P28436
|
FINISHED |
| Object | Like I Do |
E252752
|
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: Like I Do | Statement: [Liberation, singleFrom, Like I Do]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like I Do Context triple: [Liberation, singleFrom, Like I Do]
-
A.
Like I Do
chosen
"Like I Do" is a song from Christina Aguilera’s album "Liberation," showcasing her blend of soulful vocals with contemporary pop and R&B production.
-
B.
Yes I Do
"Yes I Do" is a song performed by British actress and singer Carmen Ejogo, known for her work in film, television, and music.
-
C.
Love You I Do
"Love You I Do" is a soulful R&B song performed by Jennifer Hudson in the 2006 film adaptation of the musical Dreamgirls, for which she won an Academy Award.
-
D.
Do I Do
"Do I Do" is a 1982 upbeat R&B and funk song by Stevie Wonder, known for its extended groove, jazz-influenced arrangement, and a prominent trumpet solo by Dizzy Gillespie.
-
E.
Nobody Loves Me Like You Do
"Nobody Loves Me Like You Do" is a romantic ballad best known from its hit duet recording by Anne Murray and Dave Loggins in the 1980s.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae894f9ff881909d1b3a7956d82576 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:48 p.m.