Triple
T3608573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Ira Dei |
E76430
|
entity |
| Predicate | partOfCorpus |
P7332
|
FINISHED |
| Object | works of Lactantius |
—
|
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: works of Lactantius | Statement: [De Ira Dei, partOfCorpus, works of Lactantius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCorpus Context triple: [De Ira Dei, partOfCorpus, works of Lactantius]
-
A.
corpus
Indicates that an entity is a collection or body of texts, documents, or linguistic data used as a unified set for analysis or reference.
-
B.
primaryCorpusType
Indicates the main or dominant type or category of corpus associated with an entity.
-
C.
partOfConcept
Indicates that one concept is a constituent or component of a larger, more encompassing concept.
-
D.
partOfAuthorBibliography
chosen
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
E.
partOfLexicon
Indicates that a linguistic unit (such as a word or expression) belongs to or is included within a particular lexicon or vocabulary set.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22a3cf081908c20b6fb55be0db2 |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.