Triple
T31001227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Bundy |
E789941
|
entity |
| Predicate | basedOnTrope |
P68123
|
FINISHED |
| Object | dumb blonde stereotype |
—
|
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: dumb blonde stereotype | Statement: [Kelly Bundy, basedOnTrope, dumb blonde stereotype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnTrope Context triple: [Kelly Bundy, basedOnTrope, dumb blonde stereotype]
-
A.
usedAsTrope
chosen
Indicates that something functions as a recurring narrative device, motif, or cliché within a story or set of stories.
-
B.
inspiredTrope
Indicates that one trope serves as the creative or conceptual inspiration for another trope.
-
C.
tvtropesPage
Indicates that one entity is the TVTropes webpage corresponding to, describing, or cataloging the tropes of another entity.
-
D.
etrogType
Indicates that one entity is classified as a specific type or variety within the category of etrog.
-
E.
subvertsTrope
Indicates that one entity challenges, undermines, or reverses the expected pattern or convention represented by a particular trope.
- 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: April 29, 2026, 8:56 p.m.