Triple
T31200729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lange |
E795467
|
entity |
| Predicate | reissuedUnderRealName |
P171357
|
FINISHED |
| Object | some novels |
—
|
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: some novels | Statement: [John Lange, reissuedUnderRealName, some novels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reissuedUnderRealName Context triple: [John Lange, reissuedUnderRealName, some novels]
-
A.
wasReissued
Indicates that an item, such as a document or edition, has been issued again after its original release.
-
B.
releasedUnderName
Indicates that an entity was released or published using a particular name or title, which may differ from its original or official name.
-
C.
rightsReissuedBy
Indicates that previously held rights have been renewed, reassigned, or regranted by a particular agent or authority.
-
D.
reestablishedUnderCurrentName
Indicates that an entity previously existed under a different name and was later reestablished using its current name.
-
E.
notRealNameOf
Indicates that the referenced name is not the entity’s actual or official name (e.g., it is false, fabricated, or otherwise not the real name of that entity).
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 9:09 p.m.