Triple
T23467787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Life |
E569142
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nick Thune |
—
|
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: Nick Thune | Statement: [Love Life, starring, Nick Thune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Thune Context triple: [Love Life, starring, Nick Thune]
-
A.
Nick Thune
chosen
Nick Thune is an American stand-up comedian and actor known for his dry, absurdist humor and appearances in film and television.
-
B.
Charles Mix
Charles Mix was a 19th-century American Indian agent and government official associated with U.S. relations and treaties with Native American tribes.
-
C.
Pete Ricketts
Pete Ricketts is an American businessman and Republican politician who served as the governor of Nebraska and later as a U.S. senator from the state.
-
D.
Mike Donnelly
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
-
E.
David Schweikert
David Schweikert is a Republican U.S. Congressman from Arizona known for his fiscal conservatism and focus on tax and budget policy.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.