Triple
T11010563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community season 2 |
E260234
|
entity |
| Predicate | featuresGenreParody |
P5483
|
FINISHED |
| Object | action films |
—
|
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: action films | Statement: [Community season 2, featuresGenreParody, action films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresGenreParody Context triple: [Community season 2, featuresGenreParody, action films]
-
A.
parodies
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
B.
genreFeatures
chosen
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
C.
genreOfComedy
Indicates that something belongs to or is categorized within the comedy genre.
-
D.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
E.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797899a388190aa8fe813eac4dba7 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.