Triple
T9425382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Artist Formerly Known as Prince |
E227251
|
entity |
| Predicate | symbolCombines |
P88815
|
FINISHED |
| Object | male sign |
—
|
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: male sign | Statement: [The Artist Formerly Known as Prince, symbolCombines, male sign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolCombines Context triple: [The Artist Formerly Known as Prince, symbolCombines, male sign]
-
A.
combinationType
Indicates how multiple elements are combined or related to each other within a composite structure or operation.
-
B.
combinedIn
Indicates that two or more entities are merged, joined, or used together to form a single combined whole or context.
-
C.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
D.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
E.
symbolDesigned
Indicates that one entity created or planned the design of a symbolic representation (such as a logo, icon, or emblem) for another entity.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c8f59dc8190854dfc0d287731c6 |
completed | April 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:49 p.m.