Triple
T26160897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herfast |
E660106
|
entity |
| Predicate | wasClericIn |
P64927
|
FINISHED |
| Object | Norman England |
—
|
NE NERFINISHED |
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: Norman England | Statement: [Herfast, wasClericIn, Norman England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasClericIn Context triple: [Herfast, wasClericIn, Norman England]
-
A.
isCleric
Indicates that an entity holds the role or status of a cleric, typically serving a religious or spiritual function.
-
B.
isClericIn
chosen
Indicates that an entity serves or functions as a cleric within a specified organization, location, or group.
-
C.
hasClericalProtagonist
Indicates that the main character in the work is a member of the clergy or holds a religious office.
-
D.
servedAsPriestDuring
Indicates that a person held and performed the role or office of a priest during a specified time period or event.
-
E.
wasOrdainedAs
Indicates that an entity was formally appointed or consecrated into an official religious or ceremonial role.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f60c15e9848190ad5dcdb8879aadf7 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:30 p.m.