Triple
T28958812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandelier (featuring Maddie Ziegler) |
E731834
|
entity |
| Predicate | helpedDefineVisualIdentityOf |
P14573
|
FINISHED |
| Object | Sia |
—
|
NE NERFINISHED |
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: Sia | Statement: [Chandelier (featuring Maddie Ziegler), helpedDefineVisualIdentityOf, Sia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedDefineVisualIdentityOf Context triple: [Chandelier (featuring Maddie Ziegler), helpedDefineVisualIdentityOf, Sia]
-
A.
visualIdentity
Indicates the relationship in which one entity defines, shapes, or represents the visual appearance and branding style of another entity.
-
B.
visualIdentityDesigner
chosen
Indicates that an entity is responsible for creating or shaping the visual identity or visual branding of another entity.
-
C.
visuallyDefines
Indicates that one entity establishes or clarifies the appearance, form, or visual characteristics of another entity.
-
D.
visualIdentityRecognizedAs
Indicates that one visual identity is perceived, acknowledged, or treated as equivalent to another visual identity.
-
E.
maintainsBrandIdentityOf
Indicates that one entity preserves, protects, or upholds the established brand identity 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 8:49 a.m.