Triple
T10836770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night School |
E255778
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Taran Killam |
E768407
|
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: Taran Killam | Statement: [Night School, starring, Taran Killam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taran Killam Context triple: [Night School, starring, Taran Killam]
-
A.
Taran Killam
chosen
Taran Killam is an American actor, comedian, and writer best known for his work as a cast member on "Saturday Night Live" and roles in various film and television comedies.
-
B.
Joel McKinnon Miller
Joel McKinnon Miller is an American character actor best known for playing the affable Detective Norm Scully on the television comedy series "Brooklyn Nine-Nine."
-
C.
Rhys Darby
Rhys Darby is a New Zealand comedian and actor known for his eccentric, high-energy roles in film and television, including prominent parts in Flight of the Conchords and various Hollywood comedies.
-
D.
Marc Tarpenning
Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
-
E.
Kyle Howard
Kyle Howard is an American actor best known for his comedic roles in television series and films, including prominent parts in sitcoms.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb12aae648190aa7c93cee60ae3ea |
completed | April 14, 2026, 9:27 p.m. |
Created at: April 8, 2026, 9:19 p.m.