Triple
T37798228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellie Burr |
E942293
|
entity |
| Predicate | professionallyLooksUpTo |
P117293
|
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, professionallyLooksUpTo, Will Dormer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionallyLooksUpTo Context triple: [Ellie Burr, professionallyLooksUpTo, Will Dormer]
-
A.
seeksToBe
Indicates an entity’s intention or effort to become or attain the state, role, or condition represented by another entity.
-
B.
targetLook
Indicates that one entity directs its gaze or visual focus toward another entity as a target.
-
C.
isAdmiredBy
chosen
Indicates that one entity holds admiration or high regard for another entity.
-
D.
hasProfessionalRelationshipWith
Indicates a formal, work-related connection or collaboration exists between the two entities in a professional context.
-
E.
refersToProfession
Indicates that one entity is being referenced specifically in terms of its profession or occupational 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.