Triple
T32407257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyoncé’s 2018 Coachella performance |
E828116
|
entity |
| Predicate | featuredSymbol |
P8639
|
FINISHED |
| Object | Greek-letter–style crest for Beyoncé’s fictional sorority |
—
|
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: Greek-letter–style crest for Beyoncé’s fictional sorority | Statement: [Beyoncé’s 2018 Coachella performance, featuredSymbol, Greek-letter–style crest for Beyoncé’s fictional sorority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredSymbol Context triple: [Beyoncé’s 2018 Coachella performance, featuredSymbol, Greek-letter–style crest for Beyoncé’s fictional sorority]
-
A.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
B.
featuredElement
Indicates that one element is highlighted or given special prominence relative to others in a given context.
-
C.
featuredLegend
Indicates that an entity is highlighted or showcased as a prominent or notable legend within a given context.
-
D.
iconicFeature
Indicates that something serves as a distinctive, widely recognized characteristic or symbol of another entity.
-
E.
emblemFeatures
chosen
Indicates that an emblem includes or displays specific visual elements or characteristics.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00d8ba18808190976682088a02a9a8 |
completed | May 10, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a00d85fad64819084f424ec8ecd3b57 |
completed | May 10, 2026, 7:11 p.m. |
Created at: May 1, 2026, 12:53 a.m.