Triple
T21335621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stu Linder |
E526036
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object | Bandits |
—
|
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: Bandits | Statement: [Stu Linder, edited, Bandits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandits Context triple: [Stu Linder, edited, Bandits]
-
A.
Bandits
chosen
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.
-
B.
Bandits
Bandits is the abbreviated name of the Albury Wodonga Bandits, an Australian basketball club competing in national and regional leagues.
-
C.
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.
-
D.
Bandit
Bandit is the mascot character representing Clatsop Community College in its athletic and school spirit activities.
-
E.
Bandit
Bandit is a prominent steel roller coaster at Yomiuriland amusement park in Japan, known for its high speed and scenic layout through wooded terrain.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d6fcbc8190b83d9cfc9b4ca123 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 4:43 p.m.