Triple
T30639920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent to the Stars |
E779944
|
entity |
| Predicate | hasAuthorWebsiteRelease |
P181251
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Agent to the Stars, hasAuthorWebsiteRelease, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorWebsiteRelease Context triple: [Agent to the Stars, hasAuthorWebsiteRelease, Yes]
-
A.
hasPublisherWebsite
Indicates that an entity is associated with the official website of its publisher.
-
B.
hasAuthorPublished
Indicates that a specific author has produced and made publicly available at least one work, such as a book, article, or paper.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
E.
hasAuthorRealName
Indicates that an entity (such as a work or pseudonym) is associated with the actual, legal name of its author.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: April 29, 2026, 8:29 p.m.