Triple
T14309547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Carey |
E354787
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Funny or Die shorts |
E76742
|
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: Funny or Die shorts | Statement: [Maggie Carey, notableWork, Funny or Die shorts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funny or Die shorts Context triple: [Maggie Carey, notableWork, Funny or Die shorts]
-
A.
Funny or Die
chosen
Funny or Die is a comedy video website and production company known for its celebrity-driven sketches and viral online content.
-
B.
Saturday Night Live digital shorts
Saturday Night Live digital shorts are a series of comedic short films, often musical and absurdist, that became a breakout highlight of SNL in the 2000s and 2010s, popularizing viral sketches like "Lazy Sunday" and "Dick in a Box."
-
C.
Shorts
Shorts is a surname shared by various individuals, including American football player Cecil Shorts III.
-
D.
Humor Me
"Humor Me" is a film edited by Nat Sanders, known for his work on acclaimed independent movies.
-
E.
Between Two Ferns
Between Two Ferns is a satirical online talk show hosted by Zach Galifianakis, known for its awkward, deadpan celebrity interviews and low-budget, mock-public-access style.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2e2444819090252684673ff3df |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.