Triple
T35007790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Tamaran |
E1009858
|
entity |
| Predicate | rankInMonarchy |
P97834
|
FINISHED |
| Object | princess |
—
|
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: princess | Statement: [Princess of Tamaran, rankInMonarchy, princess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInMonarchy Context triple: [Princess of Tamaran, rankInMonarchy, princess]
-
A.
monarchicRank
chosen
Indicates the hierarchical level or status an individual holds within a monarchical system of rule.
-
B.
rankInPrincelyOrder
Indicates the position or level an entity holds within a specified princely order or hierarchy.
-
C.
positionOnMonarchy
Indicates a stance, opinion, or policy position that an entity holds regarding the institution or system of monarchy.
-
D.
positionInLineOfSuccessionToThrone
Indicates the ordinal place an individual holds in the ordered sequence of heirs eligible to inherit a throne.
-
E.
positionInRoyalFamily
Indicates the familial rank or role an individual holds within a royal family hierarchy.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:01 p.m.