Triple
T33915200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Corey |
E869431
|
entity |
| Predicate | selfStyledTitle |
P158324
|
FINISHED |
| Object | The World’s Foremost Authority |
—
|
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: The World’s Foremost Authority | Statement: [Professor Corey, selfStyledTitle, The World’s Foremost Authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selfStyledTitle Context triple: [Professor Corey, selfStyledTitle, The World’s Foremost Authority]
-
A.
styleOfTitle
Indicates the stylistic form or presentation type applied to a title (e.g., how the title is formatted or expressed).
-
B.
titlesStyle
Indicates the stylistic convention or formatting applied to titles in a given context or resource.
-
C.
selfBestowedTitle
chosen
Indicates that an entity has given a title or designation to itself, rather than receiving it from others.
-
D.
selfStyling
Indicates that an entity independently chooses or creates its own style, appearance, or manner of presentation.
-
E.
titleStylization
Indicates how the written form of a title is stylistically presented, such as through capitalization, spacing, punctuation, or special formatting.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.