Triple
T2391081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doja Cat |
E48943
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Juicy |
E23178
|
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: Juicy | Statement: [Doja Cat, notableWork, Juicy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juicy Context triple: [Doja Cat, notableWork, Juicy]
-
A.
Juicy
chosen
"Juicy" is a landmark 1994 hip-hop single by The Notorious B.I.G. that chronicles his rise from poverty to rap stardom and is widely regarded as one of the greatest rap songs of all time.
-
B.
Juice
"Juice" is a 1992 crime drama film starring Tupac Shakur as a troubled Harlem teenager caught up in escalating violence and the pursuit of power.
-
C.
Chingy
Chingy is an American rapper and actor best known for his early-2000s hit singles like "Right Thurr" and his association with the Disturbing tha Peace label.
-
D.
Milkshake
"Milkshake" is a 2003 R&B song by American singer Kelis, best known for its catchy hook and enduring pop-culture presence.
-
E.
Too Sweet
"Too Sweet" is a soulful, blues-inflected song by Irish singer-songwriter Hozier that explores themes of desire, temptation, and moral conflict.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87457388190822d5506327db8f2 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3d4f0608190bcc77a67fa85b963 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.