Triple
T21717459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cooper Jr. |
E536065
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hennesey |
—
|
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: Hennesey | Statement: [John Cooper Jr., notableWork, Hennesey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hennesey Context triple: [John Cooper Jr., notableWork, Hennesey]
-
A.
Hennesey
chosen
Hennesey is a hip-hop artist best known as part of the duo Hennesey n Buddah.
-
B.
Henney
Henney is a surname most notably associated with American actor and model Daniel Henney, known for his work in both Hollywood and Korean entertainment industries.
-
C.
Holley
Holley is a surname most notably associated with Alexander Lyman Holley, a prominent 19th-century American engineer and steel industry pioneer.
-
D.
Screamin’ Eagle
Screamin’ Eagle is a classic wooden roller coaster at Six Flags St. Louis known for its large drops, high speeds, and historic status among coaster enthusiasts.
-
E.
Hennessey
Hennessey is a surname and variant spelling of Hennessy, which is associated with various individuals and brands, most notably the Hennessy cognac.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96babdc81908226ec043dbe7431 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.