Triple
T23568472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanne |
E580033
|
entity |
| Predicate | appearsAcrossSectionsOfWork |
P64119
|
FINISHED |
| Object | multiple seasons in The Seasons |
—
|
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: multiple seasons in The Seasons | Statement: [Hanne, appearsAcrossSectionsOfWork, multiple seasons in The Seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsAcrossSectionsOfWork Context triple: [Hanne, appearsAcrossSectionsOfWork, multiple seasons in The Seasons]
-
A.
appearsInSectionOfWork
chosen
Indicates that one entity is contained within or shows up in a specific section or part of a larger work.
-
B.
appearsInWorkByAuthorFrom
Indicates that an entity appears in a work that was created by an author originating from a specified place or country.
-
C.
appearsInWorkByTitle
Indicates that an entity appears in, is featured in, or is contained within a work identified by its title.
-
D.
appearsInWorkAbout
Indicates that an entity is mentioned or featured within a work whose subject or focus is that entity.
-
E.
settingOfWorkAppearsIn
Indicates that a particular place, time, or environment serves as the setting within which a given creative work’s events or narrative occur.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6e11008190bdd28c3f85e3004e |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:35 p.m.