Triple
T5793907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrigali guerrieri et amorosi |
E128460
|
entity |
| Predicate | bookNumberInSeries |
P61667
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Madrigali guerrieri et amorosi, bookNumberInSeries, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookNumberInSeries Context triple: [Madrigali guerrieri et amorosi, bookNumberInSeries, 8]
-
A.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
-
B.
hasSeriesNumber
chosen
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
C.
filmSeriesInstallmentNumber
Indicates the specific sequential position that a film occupies within a film series.
-
D.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.