Triple
T37798229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellie Burr |
E942293
|
entity |
| Predicate | roleModel |
P103154
|
FINISHED |
| Object | Will Dormer |
—
|
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: Will Dormer | Statement: [Ellie Burr, roleModel, Will Dormer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleModel Context triple: [Ellie Burr, roleModel, Will Dormer]
-
A.
roleModelFor
chosen
Indicates that one entity serves as an example or inspiration that another entity admires and seeks to emulate.
-
B.
realmRole
Indicates that an entity holds or is associated with a specific role or set of permissions within a defined realm or security domain.
-
C.
roleComponent
Indicates that one entity functions as a component or constituent part within the role or capacity defined by another entity.
-
D.
roleOn
Indicates that an entity holds or performs a specific role or function within another entity, context, or activity.
-
E.
roleWith
Indicates that one entity holds or performs a particular role in relation to 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_69f76ee6f1f4819091e2cf9c9e6aee19 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.