Triple
T2585680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Chancery |
E57991
|
entity |
| Predicate | seriesNumberWithin |
P5040
|
FINISHED |
| Object | second novel of The Forsyte Saga |
—
|
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: second novel of The Forsyte Saga | Statement: [In Chancery, seriesNumberWithin, second novel of The Forsyte Saga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberWithin Context triple: [In Chancery, seriesNumberWithin, second novel of The Forsyte Saga]
-
A.
seriesVolumeNumber
chosen
Indicates the specific volume number assigned to an item within an ordered series.
-
B.
serialNumber
Indicates a unique identifying code assigned to an individual item or instance within a series or batch.
-
C.
designationSeries
Indicates that one designation belongs to or is part of a broader series of related designations.
-
D.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
E.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3cd07588190b3cb8cc348f12938 |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.