Triple
T23371358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Tyme |
E593482
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Let It Flow |
—
|
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: Let It Flow | Statement: [Big Tyme, hasPart, Let It Flow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let It Flow Context triple: [Big Tyme, hasPart, Let It Flow]
-
A.
Let It Flow
chosen
"Let It Flow" is a 1996 R&B song by Toni Braxton, best known for its inclusion on the soundtrack of the film "Waiting to Exhale."
-
B.
Keep It Flowing
"Keep It Flowing" is a track by the hip-hop duo Funky Technician, known for its classic boom-bap production and intricate lyricism.
-
C.
The Flow
"The Flow" is a song by the band Body Language, known for its smooth, groove-driven electronic pop style.
-
D.
Go with the Flow
"Go with the Flow" is a high-energy alternative rock song by Queens of the Stone Age, known for its driving rhythm, catchy guitar riffs, and prominent music video that helped cement the band's mainstream popularity.
-
E.
Flow (album)
Flow is a jazz album by acclaimed trumpeter and composer Terence Blanchard that showcases his modern, exploratory approach to post-bop and contemporary jazz.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.