Triple
T33312968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | #blackAF |
E852935
|
entity |
| Predicate | hashtagStyleTitle |
P97726
|
FINISHED |
| Object | #blackAF |
—
|
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: #blackAF | Statement: [#blackAF, hashtagStyleTitle, #blackAF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hashtagStyleTitle Context triple: [#blackAF, hashtagStyleTitle, #blackAF]
-
A.
styleOfTitle
Indicates the stylistic form or presentation type applied to a title (e.g., how the title is formatted or expressed).
-
B.
hasHashtagInTitle
chosen
Indicates that a title contains a specific hashtag.
-
C.
titlesStyle
Indicates the stylistic convention or formatting applied to titles in a given context or resource.
-
D.
titleStylization
Indicates how the written form of a title is stylistically presented, such as through capitalization, spacing, punctuation, or special formatting.
-
E.
associatedTitleStyle
Indicates a relationship where one entity is linked to a particular title style that defines how its title should be presented or formatted.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:33 a.m.