Triple
T6414944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Hot N***a" |
E127800
|
entity |
| Predicate | cleanTitleVariant |
P28332
|
FINISHED |
| Object | "Hot Boy" |
—
|
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: "Hot Boy" | Statement: ["Hot N***a", cleanTitleVariant, "Hot Boy"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cleanTitleVariant Context triple: ["Hot N***a", cleanTitleVariant, "Hot Boy"]
-
A.
titleVariant
chosen
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
-
B.
retitledAs
Indicates that an entity has been given a new title or name, replacing or supplementing its original one.
-
C.
traditionalTitleGivenBy
Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
-
D.
translationTitle
Indicates that one entity is the title assigned to a translated version of another entity (such as a work, document, or text).
-
E.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068e6bd3881909b1979de5cdf17fb |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:42 p.m.