Triple
T30267011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chocolate Soldier |
E769676
|
entity |
| Predicate | authorOfSourceWorkDisapproved |
P107359
|
FINISHED |
| Object | George Bernard Shaw |
—
|
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: George Bernard Shaw | Statement: [The Chocolate Soldier, authorOfSourceWorkDisapproved, George Bernard Shaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfSourceWorkDisapproved Context triple: [The Chocolate Soldier, authorOfSourceWorkDisapproved, George Bernard Shaw]
-
A.
anonymousAuthorOfSourceWork
Indicates that a person is the (unidentified or unnamed) author of a given source work.
-
B.
rejectedByPublisherDuringAuthorLife
Indicates that a work was rejected by a publisher while its author was still alive.
-
C.
authorshipStatus
Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
-
D.
awardedToSourceWork
Indicates that an award or recognition is given specifically for a particular source work (such as a book, film, or other original creation).
-
E.
disapprovedOf
chosen
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 29, 2026, 7:43 p.m.