Triple
T19160214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaan Kenbrovin |
E469031
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | James Kendis |
—
|
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: James Kendis | Statement: [Jaan Kenbrovin, namedAfter, James Kendis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Kendis Context triple: [Jaan Kenbrovin, namedAfter, James Kendis]
-
A.
James Kendis
chosen
James Kendis was an American songwriter active in the early 20th century, best known for co-writing popular Tin Pan Alley songs.
-
B.
Sean Kenney
Sean Kenney is an American actor best known for playing the disfigured Captain Christopher Pike in the original Star Trek series.
-
C.
Kent Beyda
Kent Beyda is a film editor best known for his work on major studio comedies and family films, including the 2002 live-action Scooby-Doo movie.
-
D.
Miles Kendig
Miles Kendig is a wry, resourceful former CIA agent best known as the protagonist of the espionage novel and film "Hopscotch," where he outsmarts his own agency with a playful yet dangerous game of cat and mouse.
-
E.
Kevin Kropinyeri
Kevin Kropinyeri is an Australian Aboriginal stand-up comedian known for his high-energy storytelling and performances at major comedy festivals and on national television.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebc52dc819085666dbbeea365a6 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.