Triple
T26969692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Albie |
E679276
|
entity |
| Predicate | showWithinShowFormat |
P15144
|
FINISHED |
| Object | live sketch-comedy series |
—
|
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 sketch-comedy series | Statement: [Matt Albie, showWithinShowFormat, live sketch-comedy series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showWithinShowFormat Context triple: [Matt Albie, showWithinShowFormat, live sketch-comedy series]
-
A.
basedOnShowFormat
Indicates that one entity’s structure, style, or format is derived from or modeled after the format of a particular show.
-
B.
showFormatRole
Indicates the role or function that an entity has in relation to the format of a show or presentation.
-
C.
worksOnShowWithinShow
Indicates that one entity works on a specific show that exists as a sub-show or segment within a larger overarching show.
-
D.
settingWithinShow
Indicates that one setting (such as a location or environment) exists as part of, or is contained within, a particular show.
-
E.
showType
chosen
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6212454348190905c6132f6191e76 |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:38 a.m.