Triple
T20036852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Them Girls Like |
E497291
|
entity |
| Predicate | hasChorusBy |
P30369
|
FINISHED |
| Object | Chris Brown |
—
|
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: Chris Brown | Statement: [What Them Girls Like, hasChorusBy, Chris Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Brown Context triple: [What Them Girls Like, hasChorusBy, Chris Brown]
-
A.
Chris Brown
Chris Brown is a film producer known for his work on the World War II drama "The Railway Man."
-
B.
Chris Brown
chosen
Chris Brown is an American singer, songwriter, dancer, and actor known for his R&B and pop hits as well as his dynamic performances.
-
C.
Ne-Yo
Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and for writing songs for numerous major artists.
-
D.
Christopher Brown
Christopher Brown is an architect known for his work on the National Theatre in London.
-
E.
Omarion
Omarion is an American R&B singer, songwriter, and dancer best known as the former lead vocalist of the boy band B2K and for his successful solo career.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e8573081909f71fda640aa3220 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.