Triple
T16620177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Ratner |
E403802
|
entity |
| Predicate | owesMoneyTo |
P52432
|
FINISHED |
| Object | Arno |
E1223989
|
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: Arno | Statement: [Howard Ratner, owesMoneyTo, Arno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arno Context triple: [Howard Ratner, owesMoneyTo, Arno]
-
A.
Arno
chosen
Arno is a loan shark and the main antagonist in the film "Uncut Gems," serving as Howard Ratner's menacing creditor and cousin.
-
B.
Arno
The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
-
C.
Arno
Arno is a settlement located on Arno Atoll in the Marshall Islands, known for its traditional Pacific island community and lagoon environment.
-
D.
Karle
Karle is a surname most notably associated with Jerome Karle, the American physical chemist and Nobel Prize laureate.
-
E.
Tyrael
Tyrael is an archangel and central heroic figure in Blizzard's Diablo video game series, known for defying the High Heavens to aid humanity against the forces of Hell.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754d6b4c81908eab5210c386ea15 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b5afc081908d16f0b43fff20fc |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.