Triple
T28811901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comedy Central Roast of Charlie Sheen |
E727535
|
entity |
| Predicate | hasRoastmaster |
P172341
|
FINISHED |
| Object | Seth MacFarlane |
—
|
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: Seth MacFarlane | Statement: [The Comedy Central Roast of Charlie Sheen, hasRoastmaster, Seth MacFarlane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoastmaster Context triple: [The Comedy Central Roast of Charlie Sheen, hasRoastmaster, Seth MacFarlane]
-
A.
hasRoastMaster
chosen
Indicates that something is associated with or assigned a specific roast master responsible for overseeing its roasting process.
-
B.
hasRoastType
Indicates that one entity is characterized by or associated with a specific roast type of another entity.
-
C.
roastProfile
Indicates the specific roasting characteristics or level applied to an item (typically coffee), defining how it was roasted.
-
D.
hasPrimaryBartenderTrait
Indicates that an entity possesses the main or defining characteristic(s) associated with being a bartender.
-
E.
isCookedBy
Indicates that something has been prepared or made ready for eating through cooking by a particular agent.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 28, 2026, 6:31 a.m.