Triple
T36062569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Kiritsubo |
E1043126
|
entity |
| Predicate | relativeStatusAtCourt |
P204715
|
FINISHED |
| Object | lower rank than other principal consorts |
—
|
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: lower rank than other principal consorts | Statement: [Lady Kiritsubo, relativeStatusAtCourt, lower rank than other principal consorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeStatusAtCourt Context triple: [Lady Kiritsubo, relativeStatusAtCourt, lower rank than other principal consorts]
-
A.
courtRelationship
Indicates a formal legal relationship between parties established or recognized through court proceedings or judicial decisions.
-
B.
courtStatus
Indicates the current legal or procedural state of a case or matter within a court system.
-
C.
judicialStatus
Indicates the legal or court-related condition or standing of an entity within a judicial process (e.g., pending, decided, appealed).
-
D.
statusInLegalSystem
Indicates the current standing or condition of an entity within a legal or judicial framework (e.g., pending, active, resolved, or appealed).
-
E.
defendantStatus
Indicates the legal condition or standing of a defendant within a judicial or law-enforcement process.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.