Triple
T28213051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella Prize 2015 |
E711227
|
entity |
| Predicate | hasShortlistedWork |
P25539
|
FINISHED |
| Object | The Strays |
—
|
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: The Strays | Statement: [Stella Prize 2015, hasShortlistedWork, The Strays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortlistedWork Context triple: [Stella Prize 2015, hasShortlistedWork, The Strays]
-
A.
hasShortlistedAuthor
Indicates that an entity has selected or included a particular author on a shortlist for consideration or recognition.
-
B.
hasNotableWorkSetThere
Indicates that a notable work (such as a book, film, or other creative piece) is set in or takes place within the referenced location.
-
C.
hasCatalogedWorkOn
Indicates that an entity has formally recorded, listed, or documented another entity as a work within a catalog or collection.
-
D.
nominatedWork
chosen
Indicates that a particular work (such as a book, film, or artwork) has been put forward as a candidate for an award, honor, or recognition.
-
E.
hasCommissionedWork
Indicates that one entity has formally requested and authorized another entity to create a specific work, typically in exchange for payment or agreed consideration.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 10:40 p.m.