Triple
T25321179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel-Kane Day-Lewis |
E634884
|
entity |
| Predicate | hasModelingWorkFor |
P17880
|
FINISHED |
| Object | fashion brands |
—
|
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: fashion brands | Statement: [Gabriel-Kane Day-Lewis, hasModelingWorkFor, fashion brands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModelingWorkFor Context triple: [Gabriel-Kane Day-Lewis, hasModelingWorkFor, fashion brands]
-
A.
hasModelledFor
chosen
Indicates that one entity has served as a model for another entity, typically in a professional or representational context such as art, photography, or fashion.
-
B.
hasWorkOn
Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
-
C.
requiresModelingOf
Indicates that one entity depends on another entity being represented or simulated in a model in order for it to be properly defined, analyzed, or executed.
-
D.
hasWorkPart
Indicates that one work is a component, section, or constituent part of another, larger work.
-
E.
hasWorkBy
Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 21, 2026, 1:28 p.m.