Triple
T37723262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy O. Yang |
E939647
|
entity |
| Predicate | platformOfComedySpecial |
P62152
|
FINISHED |
| Object | Amazon Prime Video |
—
|
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: Amazon Prime Video | Statement: [Jimmy O. Yang, platformOfComedySpecial, Amazon Prime Video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformOfComedySpecial Context triple: [Jimmy O. Yang, platformOfComedySpecial, Amazon Prime Video]
-
A.
televisionPlatform
Indicates that one entity serves as the television platform (e.g., service, system, or distribution channel) through which the other entity’s TV content is delivered or accessed.
-
B.
playsOn
Indicates that one entity participates or performs on a particular team, platform, or medium.
-
C.
hasStandUpSpecial
chosen
Indicates that an entity has created, performed, or released a stand-up comedy special.
-
D.
isComedyShowOf
Indicates that something is a comedy show that belongs to, features, or is associated with a particular entity (such as a person, group, or channel).
-
E.
starsComedianKnownFor
Indicates that a work features a comedian who is particularly recognized or famous for that role or performance.
- F. None of above.
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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:18 p.m.