Triple
T37883436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Big Ears |
E944932
|
entity |
| Predicate | hasStylisticRegister |
P1609
|
FINISHED |
| Object | slang |
—
|
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: slang | Statement: [Old Big Ears, hasStylisticRegister, slang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStylisticRegister Context triple: [Old Big Ears, hasStylisticRegister, slang]
-
A.
stylisticRange
Indicates the range or spectrum of styles that characterize or can be applied to something.
-
B.
hasStyleCharacteristics
Indicates that one entity exhibits or embodies the stylistic features, traits, or qualities associated with another entity.
-
C.
hasStructuralStyle
Indicates that one entity possesses, exhibits, or is characterized by a particular architectural or structural design style.
-
D.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
E.
hasLyricalRegister
Indicates that something (such as a text, utterance, or expression) is associated with a particular lyrical or stylistic register in language.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00a15604fc8190b1c280794960f3a4 |
completed | May 10, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_6a00a0f7e77881909ac85755ab0e6329 |
completed | May 10, 2026, 3:15 p.m. |
Created at: May 3, 2026, 4:19 p.m.