Triple
T17983073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Bennett |
E430152
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | G.R.L. |
—
|
NE NERFINISHED |
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: G.R.L. | Statement: [Lauren Bennett, associatedAct, G.R.L.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G.R.L. Context triple: [Lauren Bennett, associatedAct, G.R.L.]
-
A.
G.R.L.
chosen
G.R.L. is an American-British-Canadian girl group known for their pop and dance-pop music, including songs like "Ugly Heart" and "Wild Wild Love" with Pitbull.
-
B.
Lani Groves
Lani Groves is a vocalist known for her performance of the song "It Ain't No Use."
-
C.
Lolly Jonas
Lolly Jonas is the young protagonist of the novel "Sugar Hill," whose experiences and perspective drive the story’s exploration of family, identity, and coming of age.
-
D.
ICY GRL
"ICY GRL" is Saweetie’s breakout hip-hop single that gained viral popularity and helped launch her mainstream music career.
-
E.
JLO
"JLO" is a popular hip-hop and trap-influenced track produced by Internet Money, known for its melodic style and prominent collaborations within the modern rap scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b297b7108190a676409b330ca23b |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.