Triple
T33125264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Livia Plurabelle |
E847702
|
entity |
| Predicate | sectionTitleOf |
P52136
|
FINISHED |
| Object | “Anna Livia Plurabelle” episode in Finnegans Wake |
—
|
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: “Anna Livia Plurabelle” episode in Finnegans Wake | Statement: [Anna Livia Plurabelle, sectionTitleOf, “Anna Livia Plurabelle” episode in Finnegans Wake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionTitleOf Context triple: [Anna Livia Plurabelle, sectionTitleOf, “Anna Livia Plurabelle” episode in Finnegans Wake]
-
A.
sectionTitleOfAppearance
Indicates that a given title is the heading of the section in which a particular entity or appearance is presented or discussed.
-
B.
titleSheetSections
Indicates that one or more sections are associated with, or belong to, a particular title sheet.
-
C.
titleOfPart
chosen
Indicates that one entity is the title specifically assigned to a part or section of another, larger work or resource.
-
D.
sectionType
Indicates the specific kind or category of section that an entity belongs to or represents.
-
E.
mainTitleOf
Indicates that one entity is the primary or official title assigned to another entity (such as a work, item, or record).
- 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d71f3d00819088efa93eac76e17b |
completed | May 3, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69f6d27224708190b31a541cebe0ff77 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:27 a.m.