Triple
T36244520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saga, Volume 4 |
E891620
|
entity |
| Predicate | collectsIssuesFromSeries |
P195474
|
FINISHED |
| Object | Saga |
—
|
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: Saga | Statement: [Saga, Volume 4, collectsIssuesFromSeries, Saga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectsIssuesFromSeries Context triple: [Saga, Volume 4, collectsIssuesFromSeries, Saga]
-
A.
collectorIssueComposition
Indicates that a collector’s issue or edition is composed of, or includes, specific constituent parts or items.
-
B.
mainSeriesIssueCount
Indicates the total number of issues contained in the primary or main series associated with an entity.
-
C.
currentSeriesIssueStart
Indicates that something marks the starting point or first issue of the current series.
-
D.
soloSeriesIssueCount
Indicates the number of issues released in an entity’s solo series.
-
E.
containsIssue
Indicates that one entity includes, encompasses, or has within it a particular issue, problem, or defect.
- F. None of above. chosen
Provenance (4 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: May 3, 2026, 4:09 p.m.