Triple
T16673461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddess of Pop |
E405159
|
entity |
| Predicate | honorificForGenre |
P124212
|
FINISHED |
| Object | pop music |
—
|
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: pop music | Statement: [Goddess of Pop, honorificForGenre, pop music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificForGenre Context triple: [Goddess of Pop, honorificForGenre, pop music]
-
A.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
B.
honorificGender
Indicates that a particular honorific or title is associated with a specific gender or gendered form.
-
C.
honorificSense
Indicates that one entity refers to another using an honorific or respectful linguistic form.
-
D.
honorificForAction
Indicates that a particular honorific or respectful form of address is used specifically in connection with performing a given action.
-
E.
honorificNature
Indicates that the relationship involves the use or assignment of an honorific title or respectful form of address between entities.
- F. None of above. chosen
Provenance (4 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6904008190a79ab30b6d9ccae9 |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:19 a.m.