Triple
T5236073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exeter Book |
E118223
|
entity |
| Predicate | secularContent |
P2316
|
FINISHED |
| Object | heroic and elegiac verse |
—
|
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: heroic and elegiac verse | Statement: [Exeter Book, secularContent, heroic and elegiac verse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secularContent Context triple: [Exeter Book, secularContent, heroic and elegiac verse]
-
A.
hasSecularAspects
chosen
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
-
B.
hasSecularUse
Indicates that something is used in a non-religious, worldly, or secular context or purpose.
-
C.
isNonReligious
Indicates that an entity does not adhere to, practice, or identify with any religion or religious belief system.
-
D.
containsAdultContent
Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
-
E.
hasViewOnSecularCulture
Indicates that an entity holds a particular stance, opinion, or perspective regarding secular culture.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2595c88190b4ca0b99c2f31472 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.