Triple
T17460941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet Money |
E425148
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bandit |
—
|
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: Bandit | Statement: [Internet Money, notableWork, Bandit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandit Context triple: [Internet Money, notableWork, Bandit]
-
A.
Bandit
chosen
"Bandit" is a popular hip-hop single by Juice WRLD, released with rapper YoungBoy Never Broke Again, known for its melodic style and themes of love and recklessness.
-
B.
Bandit
Bandit was a short-lived British rock band active in the mid-1970s, notable for featuring future AC/DC bassist Cliff Williams in its lineup.
-
C.
Bandits
Bandits is the abbreviated name of the Albury Wodonga Bandits, an Australian basketball club competing in national and regional leagues.
-
D.
Bandits
Bandits is a 2001 crime-comedy film about two charming bank robbers and their complicated love triangle with a woman they kidnap, starring Billy Bob Thornton, Bruce Willis, and Cate Blanchett.
-
E.
Bandits
"Bandits" is a historical study by Eric Hobsbawm that examines the social, political, and economic roles of outlaws and peasant banditry across different societies.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.