Triple
T29448692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irene Adler |
E746920
|
entity |
| Predicate | canonicalStoriesCount |
P125599
|
FINISHED |
| Object | one main appearance |
—
|
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: one main appearance | Statement: [Irene Adler, canonicalStoriesCount, one main appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalStoriesCount Context triple: [Irene Adler, canonicalStoriesCount, one main appearance]
-
A.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
-
B.
numberOfMainStories
chosen
Indicates the total count of primary or main narrative segments associated with an entity.
-
C.
currentStories
Indicates that certain stories are presently active, relevant, or ongoing in a given context or system.
-
D.
numberOfEmbeddedStories
Indicates the count of stories that are embedded within a given item or context.
-
E.
talesCount
Indicates the number of tales associated with or attributed to a given entity.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b22beec8190978f4cf0f602fc20 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:30 p.m.