Triple
T33014394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Comedy |
E844733
|
entity |
| Predicate | styleComparedToOldComedy |
P177382
|
FINISHED |
| Object | less obscene and less choral |
—
|
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: less obscene and less choral | Statement: [Middle Comedy, styleComparedToOldComedy, less obscene and less choral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleComparedToOldComedy Context triple: [Middle Comedy, styleComparedToOldComedy, less obscene and less choral]
-
A.
styleComparedToAttitudeEra
Indicates how an entity’s style compares or relates to the characteristic style of the Attitude Era.
-
B.
styleReminiscentOf
Indicates that one entity’s style closely recalls, echoes, or is strongly influenced by the style of another entity.
-
C.
isSilentComedy
Indicates that the work is a comedy in which humor is conveyed without spoken dialogue, relying primarily on visual action and physical expression.
-
D.
usesInComedy
Indicates that something is employed or incorporated as a humorous element within a comedic context or performance.
-
E.
genreOfComedy
Indicates that something belongs to or is categorized within the comedy genre.
- F. None of above. chosen
Provenance (4 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:23 a.m.