Triple
T8494702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Starr, Space Ranger |
E201067
|
entity |
| Predicate | laterEditionsFormat |
P50239
|
FINISHED |
| Object | paperback |
—
|
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: paperback | Statement: [David Starr, Space Ranger, laterEditionsFormat, paperback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterEditionsFormat Context triple: [David Starr, Space Ranger, laterEditionsFormat, paperback]
-
A.
modernEditionBy
Indicates that one entity is a modern edition or updated version that has been prepared, edited, or published by another entity.
-
B.
laterEditionParatext
Indicates that the paratext is taken from or associated with a later edition of the work than the primary text or base edition under consideration.
-
C.
laterRepublishedWith
Indicates that an existing work was republished at a later time in a modified or updated form specified by the related entity.
-
D.
subsequentReleaseFormat
chosen
Indicates that one media release is issued in a different format that chronologically follows an earlier release of the same content.
-
E.
numberOfEditions
Indicates the total count of distinct editions associated with 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57c01f881908cb77c8c834ac08d |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:13 p.m.