Triple
T36628540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Famous Forty Oz books |
E904242
|
entity |
| Predicate | successorAuthor |
P171523
|
FINISHED |
| Object | Ruth Plumly Thompson |
—
|
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: Ruth Plumly Thompson | Statement: [Famous Forty Oz books, successorAuthor, Ruth Plumly Thompson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAuthor Context triple: [Famous Forty Oz books, successorAuthor, Ruth Plumly Thompson]
-
A.
subsequentAuthor
chosen
Indicates that one author comes after another in an ordered sequence of authorship, such as in a list of contributors to a work.
-
B.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
C.
successorTitleRetainedByAuthor
Indicates that the author of a work retains the same title or designation in a subsequent or successor work.
-
D.
successorFullName
Indicates that one entity is the full name of the successor of another entity (e.g., the person or role that follows it).
-
E.
authorOfPreviousWork
Indicates that one entity is the creator or writer of an earlier work referenced or built upon by 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.