Triple
T15584664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live at the Beacon Theater |
E374585
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Hilarious |
E374584
|
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: Hilarious | Statement: [Live at the Beacon Theater, follows, Hilarious]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hilarious Context triple: [Live at the Beacon Theater, follows, Hilarious]
-
A.
Hilarious
chosen
Hilarious is a 2010 stand-up comedy special by Louis C.K. known for its sharp, self-deprecating observational humor.
-
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.
Seriously Funny
Seriously Funny is the well-known tagline used to promote the Melbourne International Comedy Festival, emphasizing its blend of high-quality and humorous performances.
-
D.
Humor Me
"Humor Me" is a film edited by Nat Sanders, known for his work on acclaimed independent movies.
-
E.
Terribly Funny
Terribly Funny is a stand-up comedy tour and show by British comedian Jimmy Carr, known for his dark humor and rapid-fire one-liners.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678536d48190a0192c79f7c281e7 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:11 a.m.