Triple
T32351210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Search |
E826601
|
entity |
| Predicate | featuredCategory |
P87
|
FINISHED |
| Object | singing |
—
|
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: singing | Statement: [Star Search, featuredCategory, singing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredCategory Context triple: [Star Search, featuredCategory, singing]
-
A.
featuredArea
Indicates that an area or section is highlighted or given special prominence within a larger context or layout.
-
B.
cornerCategory
Indicates that something is classified as belonging to a specific type or category of corner.
-
C.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
D.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
E.
featuredFor
Indicates that one entity is highlighted, promoted, or specially showcased in the context or for the benefit of another entity.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00cbae75988190974f5b45a2e62326 |
completed | May 10, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_6a00cabe4c5881909cca5efbe494e0d1 |
completed | May 10, 2026, 6:13 p.m. |
Created at: May 1, 2026, 12:49 a.m.