Triple
T22352661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naturi Naughton |
E552572
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | 3LW |
—
|
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: 3LW | Statement: [Naturi Naughton, memberOf, 3LW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3LW Context triple: [Naturi Naughton, memberOf, 3LW]
-
A.
3LW
chosen
3LW was an American R&B girl group best known for their early-2000s hits like "No More (Baby I'ma Do Right)" and "Playas Gon' Play."
-
B.
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.
-
C.
Caskey
Caskey is an American rapper known for his association with Birdman’s Rich Gang collective and his gritty, introspective Southern hip-hop style.
-
D.
LOLA
LOLA is the commonly used abbreviation for "Law & Order: LA," a short-lived spin-off of the long-running "Law & Order" television franchise set in Los Angeles.
-
E.
LOLA
LOLA is a laser altimeter instrument aboard NASA's Lunar Reconnaissance Orbiter used to precisely map the Moon's topography.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579cbbe88190bf2f27d34fc8f30e |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.