Triple
T37798227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellie Burr |
E942293
|
entity |
| Predicate | admiresProfessionally |
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, admiresProfessionally, Will Dormer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admiresProfessionally Context triple: [Ellie Burr, admiresProfessionally, Will Dormer]
-
A.
isAdmiredBy
chosen
Indicates that one entity holds admiration or high regard for another entity.
-
B.
professionalWins
Indicates that one entity has achieved a certain number of victories or successes in a professional context, such as in a career, competition, or formal domain.
-
C.
respectedAs
Indicates that one entity regards another with esteem or honor, recognizing their value, status, or authority.
-
D.
wasProfessional
Indicates that an entity previously held a professional role or status in relation to another entity or context.
-
E.
yearProfessionalismRecognized
Indicates the year in which an entity’s professional status, achievement, or qualification was formally recognized.
- 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.