Triple
T20524632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hrethel |
E503902
|
entity |
| Predicate | originalWorkMeter |
P140421
|
FINISHED |
| Object | alliterative 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: alliterative verse | Statement: [Hrethel, originalWorkMeter, alliterative verse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWorkMeter Context triple: [Hrethel, originalWorkMeter, alliterative verse]
-
A.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
B.
originalWorkFrom
Indicates that something is derived, adapted, or based on an earlier original work created by another source.
-
C.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
D.
originatedInWorkBy
Indicates that something was created, derived, or first appeared within a particular work produced by a specific creator.
-
E.
originalWorkMovement
Indicates the artistic, cultural, or intellectual movement or style with which the original work is associated or classified.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f48691c8190af0ac959e92e10d9 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:37 a.m.