Triple
T16640355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debbie Ocean |
E404315
|
entity |
| Predicate | hasAccomplice |
P21638
|
FINISHED |
| Object | Nine Ball |
E404318
|
NE FINISHED |
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: Nine Ball | Statement: [Debbie Ocean, hasAccomplice, Nine Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nine Ball Context triple: [Debbie Ocean, hasAccomplice, Nine Ball]
-
A.
Nine Ball
chosen
Nine Ball is a savvy, dreadlocked hacker played by Rihanna in the heist film "Ocean's 8."
-
B.
Grand Slam Pool
Grand Slam Pool is a baseball-themed outdoor swimming pool area at Disney's All-Star Sports Resort in Walt Disney World.
-
C.
8 Ball
"8 Ball" is a song featured on *The Beach: Motion Picture Soundtrack*, associated with the 2000 film *The Beach* starring Leonardo DiCaprio.
-
D.
Sinai billiards
Sinai billiards is a mathematical model in dynamical systems theory that studies the chaotic motion of a point particle reflecting elastically inside a planar domain with convex scatterers.
-
E.
Seven Billiard Tables
Seven Billiard Tables is a Spanish drama film in which Maribel Verdú delivers a critically acclaimed performance in a story centered on family, loss, and a struggling billiard hall.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad0e5408190aef8b5577be73057 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc41638819090e967ade46d35a4 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:18 a.m.