Triple
T4468172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Against Heresies |
E98429
|
entity |
| Predicate | book5Focus |
P53356
|
FINISHED |
| Object | eschatology and resurrection of the flesh |
—
|
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: eschatology and resurrection of the flesh | Statement: [Against Heresies, book5Focus, eschatology and resurrection of the flesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book5Focus Context triple: [Against Heresies, book5Focus, eschatology and resurrection of the flesh]
-
A.
book4Focus
chosen
Indicates that something is the primary subject or focal point of a book or written work.
-
B.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
C.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
D.
book5Title
Indicates the title assigned to the book identified as "book5."
-
E.
book7Content
Indicates that an entity contains or represents the content of book 7 in a series or collection.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.