Triple
T17844310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyla Pratt |
E445615
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Love & Basketball |
—
|
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: Love & Basketball | Statement: [Kyla Pratt, notableWork, Love & Basketball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love & Basketball Context triple: [Kyla Pratt, notableWork, Love & Basketball]
-
A.
Love & Basketball
chosen
Love & Basketball is a 2000 romantic drama film that follows two childhood friends whose shared passion for basketball intertwines with their evolving love story over the years.
-
B.
Basketball: A Love Story
Basketball: A Love Story is a comprehensive documentary and oral history project that explores the evolution, culture, and iconic figures of basketball through a wide range of interviews and stories.
-
C.
Hoops
Hoops is a television series associated with producer and manager Michael Rotenberg.
-
D.
Hoops
Hoops is a basketball-inspired game mode in Rocket League where players score by shooting the ball into elevated hoops instead of traditional soccer goals.
-
E.
Dear Basketball
Dear Basketball is an Academy Award–winning animated short film based on Kobe Bryant’s poetic farewell to the sport.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff980048190b496c55b83b3b318 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.