Triple
T35119530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faith of the Seven High Septon |
E1014127
|
entity |
| Predicate | titleHolderGroup |
P27996
|
FINISHED |
| Object | septons |
—
|
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: septons | Statement: [Faith of the Seven High Septon, titleHolderGroup, septons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderGroup Context triple: [Faith of the Seven High Septon, titleHolderGroup, septons]
-
A.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
B.
titleHolderUnder
Indicates that one entity holds a title, position, or rank under the authority, jurisdiction, or hierarchy of another entity.
-
C.
titleHolderType
Indicates the specific role or capacity in which an entity holds a title (e.g., owner, trustee, beneficiary).
-
D.
titleHolderClass
chosen
Indicates the class or category of entity that holds or bears a particular title.
-
E.
titleHolderTo
Indicates that one entity currently holds or possesses an official title, position, or designation in relation to another entity.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff6074bcd4819090b72cd6209ff206 |
completed | May 9, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69ff600aba888190812a6e7eca0283b8 |
completed | May 9, 2026, 4:25 p.m. |
Created at: May 3, 2026, 4:01 p.m.