Triple
T12991315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patoranking |
E321911
|
entity |
| Predicate | breakthroughWork |
P477
|
FINISHED |
| Object | Girlie O |
E1014002
|
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: Girlie O | Statement: [Patoranking, breakthroughWork, Girlie O]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girlie O Context triple: [Patoranking, breakthroughWork, Girlie O]
-
A.
Girlie O
chosen
"Girlie O" is a popular Afro-dancehall song by Nigerian artist Patoranking that helped establish his prominence in the African music scene.
-
B.
Mer Girl
"Mer Girl" is a haunting, introspective closing track on Madonna’s album *Ray of Light*, noted for its spoken-word style and themes of mortality and memory.
-
C.
Flutter Girl
"Flutter Girl" is a song by Chris Cornell from his solo album *Euphoria Morning*, showcasing his distinctive vocals and introspective songwriting.
-
D.
Hero Girl
Hero Girl is a fictional character typically portrayed as a brave, adventurous young girl who partners with Hero Boy in heroic exploits.
-
E.
Lavagirl
Lavagirl is a fiery superheroine from the family adventure film "The Adventures of Sharkboy and Lavagirl in 3-D," known for her lava-based powers and partnership with Sharkboy in a dreamlike fantasy world.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fca5e4819086b010fdd1813419 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:43 p.m.