Triple
T18233148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Side Effects of You |
E436595
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andre Harris |
—
|
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: Andre Harris | Statement: [Side Effects of You, producer, Andre Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andre Harris Context triple: [Side Effects of You, producer, Andre Harris]
-
A.
Andre Harris
chosen
Andre Harris is a music producer best known for his work on Miguel's acclaimed R&B album "Kaleidoscope Dream."
-
B.
Andre Harris
Andre Harris is a musically talented, kind-hearted student and Tori Vega’s best friend in the Nickelodeon teen sitcom "Victorious."
-
C.
Andre Harris
Andre Harris is a writer known for his creative contributions to literature and storytelling.
-
D.
Antoine Harris
Antoine Harris is an American actor best known for his role in the television series "The Breaks."
-
E.
Chris Harris Jr.
Chris Harris Jr. is an American football cornerback best known for his Pro Bowl and All-Pro career with the Denver Broncos, including helping the team win Super Bowl 50.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b512a88190aa493b0793ab28b3 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.