Triple
T30762426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Wah Diddy Diddy |
E783268
|
entity |
| Predicate | hasOnomatopoeicTitle |
P103300
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Do Wah Diddy Diddy, hasOnomatopoeicTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnomatopoeicTitle Context triple: [Do Wah Diddy Diddy, hasOnomatopoeicTitle, true]
-
A.
hasTitlePun
Indicates that an entity’s title involves a pun or wordplay, typically combining multiple meanings or sounds for humorous or clever effect.
-
B.
hasEnigmaticTitle
Indicates that an entity possesses a title or designation that is mysterious, obscure, or difficult to interpret.
-
C.
hasTitleOf
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
-
D.
hasTitleFeature
chosen
Indicates that an entity possesses a specific characteristic, attribute, or element related to its title.
-
E.
usedAsTitleOn
Indicates that something functions as a title applied to or displayed on a particular entity.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 29, 2026, 8:39 p.m.