Triple
T36555662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lay of Leithian |
E901691
|
entity |
| Predicate | editorOfFirstFullPublication |
P186044
|
FINISHED |
| Object | Christopher Tolkien |
—
|
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: Christopher Tolkien | Statement: [The Lay of Leithian, editorOfFirstFullPublication, Christopher Tolkien]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorOfFirstFullPublication Context triple: [The Lay of Leithian, editorOfFirstFullPublication, Christopher Tolkien]
-
A.
editorOfFirstBookPublication
Indicates that a person or entity served as the editor for the first published edition of a specific book.
-
B.
firstPublicationAuthor
Indicates that the subject is the author responsible for the first publication of the object.
-
C.
firstPublicationAuthorName
Indicates the name of the author who wrote the work’s first published edition.
-
D.
firstPublicationUnderName
Indicates that an entity’s first publication occurred using a specified name (e.g., pseudonym, pen name, or new legal name).
-
E.
workFirstPublicationApproximate
Indicates that the date of a work’s first publication is not exact but an approximate or estimated value.
- F. None of above. chosen
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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.