Triple
T13439174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Pat |
E320308
|
entity |
| Predicate | sketchFormat |
P49092
|
FINISHED |
| Object | live television comedy sketch |
—
|
LITERAL 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: live television comedy sketch | Statement: [It's Pat, sketchFormat, live television comedy sketch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sketchFormat Context triple: [It's Pat, sketchFormat, live television comedy sketch]
-
A.
sketchType
chosen
Indicates the specific kind or category of sketch associated with an entity or action.
-
B.
individualDrawFormat
Indicates the specific structure or format used to organize and schedule matches for individual competitors in a draw or bracket.
-
C.
cartographicFormat
Indicates the specific cartographic representation or format in which spatial or map-related information is expressed.
-
D.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
E.
draftFormatUsed
Indicates that a particular draft was created or prepared using a specified format.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.