Triple
T28219034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Decay of the Angel |
E711398
|
entity |
| Predicate | seriesNumberOfParts |
P80358
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [The Decay of the Angel, seriesNumberOfParts, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberOfParts Context triple: [The Decay of the Angel, seriesNumberOfParts, 4]
-
A.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
B.
partOfEpisodeCount
Indicates that one entity specifies the number of episodes contained within another entity (such as a season, series, or collection).
-
C.
hasNumberOfPartsInWholeWork
Indicates that an entity specifies how many component parts are contained within a complete work.
-
D.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
E.
seriesSize
chosen
Indicates the total number of items or installments that make up a complete series.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 10:45 p.m.