Triple
T16389230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan King |
E398004
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Casino |
E239181
|
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: Casino | Statement: [Alan King, notableWork, Casino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casino Context triple: [Alan King, notableWork, Casino]
-
A.
Casino
chosen
"Casino" is a 1995 crime drama film directed by Martin Scorsese that explores the rise and fall of a Las Vegas casino boss and the mob's influence over the gambling industry.
-
B.
Casino
"Casino" is a 1978 jazz fusion album by guitarist Al Di Meola, showcasing his virtuosic playing and intricate Latin-influenced compositions.
-
C.
Casino
Casino is a town in northern New South Wales, Australia, known as a regional service centre and gateway to the surrounding agricultural and beef-producing areas.
-
D.
Casino 2000
Casino 2000 is a prominent entertainment complex in Mondorf-les-Bains, Luxembourg, featuring a casino, dining venues, and event spaces.
-
E.
Bringing Down the House
Bringing Down the House is a bestselling non-fiction book by Ben Mezrich that chronicles how a team of MIT students used card-counting techniques to win millions of dollars in Las Vegas blackjack casinos.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326414f44819093ebc11f1b63444c |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c58280081908e4d73a75b09dbb8 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:08 a.m.