Triple
T19539574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas P. Lowry |
E488858
|
entity |
| Predicate | hasBibliographySize |
P136706
|
FINISHED |
| Object | multiple published books |
—
|
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: multiple published books | Statement: [Thomas P. Lowry, hasBibliographySize, multiple published books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBibliographySize Context triple: [Thomas P. Lowry, hasBibliographySize, multiple published books]
-
A.
hasBibliography
Indicates that one entity includes or is associated with a bibliography listing referenced or related works.
-
B.
hasCitationInformation
Indicates that an entity is associated with specific citation details, such as source, reference, or bibliographic information.
-
C.
hasCitationCount
Indicates that an entity (such as a publication) is associated with a specific number representing how many times it has been cited.
-
D.
hasBibliographicCategory
Indicates that an entity is associated with a specific bibliographic classification or category within a cataloging or documentation system.
-
E.
followsInBibliography
Indicates that one bibliographic entry directly succeeds another in the ordering of a bibliography or reference list.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63871d00881909ed7371ae5577957 |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:41 p.m.