Triple
T37668375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book Revue |
E937881
|
entity |
| Predicate | backgroundsBy |
P188528
|
FINISHED |
| Object | Richard H. Thomas |
—
|
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: Richard H. Thomas | Statement: [Book Revue, backgroundsBy, Richard H. Thomas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backgroundsBy Context triple: [Book Revue, backgroundsBy, Richard H. Thomas]
-
A.
politicalBackdropFor
Indicates that one situation, event, or context serves as the political background or setting within which another event or relationship occurs or is interpreted.
-
B.
typicalBackground
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
C.
commonBackgroundColors
Indicates that two or more entities share the same or very similar background color.
-
D.
hostBackground
Indicates that one entity serves as the environmental or contextual background in which another entity (typically a host or primary subject) is situated or presented.
-
E.
musicalBackdrop
Indicates that one entity serves as the background music or ambient sound accompanying another entity or event.
- F. None of above. chosen
Provenance (4 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba887821c8190ae93ef1dd389e9c8 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fba9ddef488190b785d332580650f0 |
completed | May 6, 2026, 8:51 p.m. |
Created at: May 3, 2026, 4:18 p.m.