Triple
T11773796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novocaine |
E279965
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Novocaine |
E279965
|
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: Novocaine | Statement: [Novocaine, title, Novocaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novocaine Context triple: [Novocaine, title, Novocaine]
-
A.
Novocaine
chosen
Novocaine is a 2001 dark comedy crime film starring Steve Martin as a dentist whose life unravels after an encounter with a mysterious patient.
-
B.
Novocaine
"Novocaine" is a song by the American rock band Bon Jovi from their 2005 album *Have a Nice Day*.
-
C.
Läkerol
Läkerol is a well-known Scandinavian brand of sugar-free pastilles and throat lozenges, recognized for its wide range of flavors and long-standing presence in Nordic confectionery.
-
D.
Anacostine
Anacostine is an alternate name for the Nacotchtank, an Indigenous people who historically lived along the Anacostia River in what is now Washington, D.C.
-
E.
Auscitain
An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55dfa088190a59b35d0247225e3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0909969e481908d836f912b5af5bf |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.