Triple
T1787066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkey Business |
E39416
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object | Don’t Lie |
E198364
|
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: Don’t Lie | Statement: [Monkey Business, includesTrack, Don’t Lie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don’t Lie Context triple: [Monkey Business, includesTrack, Don’t Lie]
-
A.
Don't Lie
chosen
"Don't Lie" is a 2005 pop and hip hop-influenced single by the Black Eyed Peas, featuring vocals by Fergie, that deals with themes of honesty and infidelity in a relationship.
-
B.
One of My Lies
"One of My Lies" is a song by the American punk rock band Green Day from their early studio album "Kerplunk."
-
C.
No One Left to Lie To
No One Left to Lie To is a political critique book by Christopher Hitchens that dissects the presidency and personal scandals of Bill Clinton.
-
D.
Don’t Play That Song (You Lied)
"Don’t Play That Song (You Lied)" is a 1962 soul and R&B hit by Ben E. King, known for its emotive vocals and tale of heartbreak over a once-cherished love song.
-
E.
Tell Me No
"Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650ea238819093a15df6f9d73e2d |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf52266081909b7478d76664d387 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.