Triple
T30669585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Second Stain |
E780757
|
entity |
| Predicate | seriesOrderInCollection |
P82023
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [The Adventure of the Second Stain, seriesOrderInCollection, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOrderInCollection Context triple: [The Adventure of the Second Stain, seriesOrderInCollection, 13]
-
A.
seriesOrderWithinUniverse
Indicates the position or sequence in which a work or installment occurs within a larger shared fictional universe or series continuity.
-
B.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
C.
collectionPosition
chosen
Indicates the relative ordering or placement of an item within a collection or sequence.
-
D.
situatedInSeries
Indicates that one entity is located or positioned within a particular series, sequence, or ordered collection of related items.
-
E.
sequenceInCategory
Indicates that one entity occurs as an ordered element within a specific category or grouping of items.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 29, 2026, 8:31 p.m.