Triple
T2580679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Thomas |
E57081
|
entity |
| Predicate | professionalRecognition |
P1597
|
FINISHED |
| Object | leading figure in American interior design |
—
|
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: leading figure in American interior design | Statement: [Roger Thomas, professionalRecognition, leading figure in American interior design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalRecognition Context triple: [Roger Thomas, professionalRecognition, leading figure in American interior design]
-
A.
recognizesWorkOf
Indicates that one entity acknowledges, identifies, or gives credit to the work or contributions produced by another entity.
-
B.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
C.
fieldOfRecognition
chosen
Indicates the domain, discipline, or area in which an entity is formally acknowledged, honored, or recognized.
-
D.
grantsRecognitionTo
Indicates that one entity formally acknowledges, honors, or validates another entity’s achievements, status, or contributions.
-
E.
recognizesProfession
Indicates that one entity acknowledges or identifies another entity’s professional role or occupation as such.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c6da888190ba7abfe37d182602 |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.