Triple
T14047571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nat Sanders |
E337997
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Humor Me |
E1076188
|
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: Humor Me | Statement: [Nat Sanders, workedOn, Humor Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humor Me Context triple: [Nat Sanders, workedOn, Humor Me]
-
A.
Humor Me
chosen
"Humor Me" is a film edited by Nat Sanders, known for his work on acclaimed independent movies.
-
B.
That’s Hilarious
"That’s Hilarious" is a pop song by American singer-songwriter Charlie Puth, known for its emotionally charged lyrics about a painful breakup and its polished, hook-driven production.
-
C.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
-
D.
America's Funnyman
America's Funnyman is a comedy album by alternative stand-up persona Neil Hamburger, showcasing his deliberately awkward, anti-comedy style.
-
E.
The Joke
"The Joke" is a critically acclaimed, anthemic ballad by American singer-songwriter Brandi Carlile that champions marginalized and misunderstood people.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.