Triple
T15184755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Public Enemy |
E362838
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object | Kubec Glasmon |
E719486
|
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: Kubec Glasmon | Statement: [The Public Enemy, basedOnAuthor, Kubec Glasmon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kubec Glasmon Context triple: [The Public Enemy, basedOnAuthor, Kubec Glasmon]
-
A.
Kubec Glasmon
chosen
Kubec Glasmon was an American screenwriter best known for co-writing the story that became the classic gangster film "The Public Enemy."
-
B.
Kubek
Kubek is the surname of Tony Kubek, a former Major League Baseball shortstop and longtime television sportscaster best known for his years with the New York Yankees.
-
C.
Kubelsky
Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
-
D.
Markus Dravs
Markus Dravs is a renowned music producer known for his work with artists such as Arcade Fire, Coldplay, and Björk, contributing to several critically acclaimed and award-winning albums.
-
E.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed32e425c819083f10f947c258a9b |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:09 a.m.