Triple
T38014232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consequences |
E948447
|
entity |
| Predicate | originalAuthorName |
P15941
|
FINISHED |
| Object | Joseph Rudyard Kipling |
E58642
|
NE 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: Joseph Rudyard Kipling | Statement: [Consequences, originalAuthorName, Joseph Rudyard Kipling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAuthorName Context triple: [Consequences, originalAuthorName, Joseph Rudyard Kipling]
-
A.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
B.
originalAuthorOfSource
Indicates that an entity is the original creator or author of a given source or work.
-
C.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
-
D.
authorName
chosen
Indicates the name associated with the person or entity that authored a given work or resource.
-
E.
canonicalAuthor
Indicates that an entity is the officially recognized or standard author of a given work or resource.
- F. None of above.
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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417b1b823c8190b83ef25a5dd20f72 |
completed | June 28, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.