Triple
T288621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen King |
E5939
|
entity |
| Predicate | hasWrittenNumberOfShortStoriesApprox |
P6223
|
FINISHED |
| Object | over 200 short stories |
—
|
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: over 200 short stories | Statement: [Stephen King, hasWrittenNumberOfShortStoriesApprox, over 200 short stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWrittenNumberOfShortStoriesApprox Context triple: [Stephen King, hasWrittenNumberOfShortStoriesApprox, over 200 short stories]
-
A.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
-
B.
numberOfWorksCreated
chosen
Indicates the total count of creative works that an entity has produced or authored.
-
C.
yearWorkWritten
Indicates the year in which a particular work was written or created.
-
D.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
E.
wrote
Indicates that an entity is the author or creator of a written work involving another 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2f5c0081908e548b314f5e986d |
completed | Feb. 28, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69a25b7c1448819082064f474633acd5 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.