Triple
T37974615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Orkney |
E947386
|
entity |
| Predicate | relationshipWithKingArthur |
P204503
|
FINISHED |
| Object | complex and often conflicted |
—
|
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: complex and often conflicted | Statement: [House of Orkney, relationshipWithKingArthur, complex and often conflicted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithKingArthur Context triple: [House of Orkney, relationshipWithKingArthur, complex and often conflicted]
-
A.
asksOfArthur
Indicates that one entity poses a question or request specifically to Arthur.
-
B.
roleOfKingArthurPlayedBy
Indicates that the role or character of King Arthur is portrayed or performed by a particular actor or performer.
-
C.
relationshipToArthurWinslow
Indicates the specific familial, social, or professional relationship that one entity has to Arthur Winslow.
-
D.
KingsmenRelation
Indicates a relationship in which one entity is associated with, belongs to, or is affiliated with the group or organization referred to as "Kingsmen."
-
E.
relationshipToPrinceHal
Indicates the specific familial, social, or interpersonal connection that an entity has to Prince Hal.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.