Triple
T3996201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean's 8 |
E87102
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Nine Ball
Nine Ball is a savvy, dreadlocked hacker played by Rihanna in the heist film "Ocean's 8."
|
E404318
|
NE FINISHED |
How this triple was built (4 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: [Ocean's 8, mainCharacter, Nine Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nine Ball Context triple: [Ocean's 8, mainCharacter, Nine Ball]
-
A.
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.
-
B.
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.
-
C.
Candlepin
Candlepin is a subscription management service that tracks and enforces software entitlements for Red Hat and related systems.
-
D.
World Tenpin Bowling Championships
The World Tenpin Bowling Championships is the premier international tournament where elite bowlers from around the globe compete for world titles in ten-pin bowling.
-
E.
Bullseye
Bullseye is a British television game show that combines darts with general knowledge quizzes, originally popular in the 1980s and 1990s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nine Ball Triple: [Ocean's 8, mainCharacter, Nine Ball]
Generated description
Nine Ball is a savvy, dreadlocked hacker played by Rihanna in the heist film "Ocean's 8."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nine Ball Target entity description: Nine Ball is a savvy, dreadlocked hacker played by Rihanna in the heist film "Ocean's 8."
-
A.
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.
-
B.
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.
-
C.
Candlepin
Candlepin is a subscription management service that tracks and enforces software entitlements for Red Hat and related systems.
-
D.
World Tenpin Bowling Championships
The World Tenpin Bowling Championships is the premier international tournament where elite bowlers from around the globe compete for world titles in ten-pin bowling.
-
E.
Bullseye
Bullseye is a British television game show that combines darts with general knowledge quizzes, originally popular in the 1980s and 1990s.
- F. None of above. chosen
Provenance (5 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403f14ec8190a77189c7066676f2 |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b54112e3788190800e295a745c4689 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b541808d548190987ad1538c647664 |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:34 p.m.