Triple
T32326980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus on the Half-Shell |
E825940
|
entity |
| Predicate | authorRealNameNotOnOriginalCover |
P193202
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Venus on the Half-Shell, authorRealNameNotOnOriginalCover, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorRealNameNotOnOriginalCover Context triple: [Venus on the Half-Shell, authorRealNameNotOnOriginalCover, true]
-
A.
hasAuthorNameOnCover
Indicates that the name of the author is printed or displayed on the cover of the work.
-
B.
alsoKnownAsRealAuthor
Indicates that an entity is an alternative or alias name identifying the same individual who is the actual (real) author of a work.
-
C.
hasNotableCoverArtist
Indicates that an entity has a cover (e.g., of a book, album, or publication) created by a cover artist who is considered notable.
-
D.
basedOnAuthorPseudonym
Indicates that something is derived from, inspired by, or determined using an author's pseudonym rather than their real name.
-
E.
basedOnAuthorRealName
Indicates that one entity is derived from, inspired by, or uses the real (legal) name of an author as its basis.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69fd3a6905b88190ae12b43576f4cc63 |
completed | May 8, 2026, 1:20 a.m. |
Created at: May 1, 2026, 12:47 a.m.