Triple
T24783925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shepherd’s Crown |
E620068
|
entity |
| Predicate | positionInSubseries |
P76763
|
FINISHED |
| Object | 5th Tiffany Aching novel |
—
|
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: 5th Tiffany Aching novel | Statement: [The Shepherd’s Crown, positionInSubseries, 5th Tiffany Aching novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSubseries Context triple: [The Shepherd’s Crown, positionInSubseries, 5th Tiffany Aching novel]
-
A.
positionHeldInSeries
Indicates the specific role or placement an entity occupies within an ordered sequence or series.
-
B.
hasPartOfSeriesPosition
chosen
Indicates that an entity occupies a specific position or order within a larger series or sequence.
-
C.
belongsToSubseries
Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
-
D.
positionInSeason
Indicates the specific ordinal placement or ranking of something within the sequence of items in a season.
-
E.
positionInCascade
Indicates the specific step or level an element occupies within an ordered cascade or sequence of dependent stages.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 4:45 a.m.