Triple
T14119821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweedledee |
E339874
|
entity |
| Predicate | hasCatchphraseStyle |
P112889
|
FINISHED |
| Object | rhyming speech |
—
|
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: rhyming speech | Statement: [Tweedledee, hasCatchphraseStyle, rhyming speech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchphraseStyle Context triple: [Tweedledee, hasCatchphraseStyle, rhyming speech]
-
A.
characterCatchphrase
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
-
B.
featuresCatchphrase
Indicates that an entity prominently includes or is associated with a particular catchphrase.
-
C.
openingCatchphrase
Indicates that one entity is a characteristic phrase or line regularly used by another entity at the beginning of a recurring performance, appearance, or communication.
-
D.
hasDramaticStyle
Indicates that an entity employs or is characterized by a theatrical, emotionally intense, or striking manner of expression or presentation.
-
E.
hasCatchySound
Indicates that something possesses an appealing, memorable, or attractive auditory quality.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.