Triple
T11952708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady of the English |
E284463
|
entity |
| Predicate | rankRelativeToQueen |
P22893
|
FINISHED |
| Object | below crowned queen |
—
|
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: below crowned queen | Statement: [Lady of the English, rankRelativeToQueen, below crowned queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankRelativeToQueen Context triple: [Lady of the English, rankRelativeToQueen, below crowned queen]
-
A.
evaluatesKingsBy
Indicates a relationship where an agent assesses or judges kings according to a specified criterion, standard, or method.
-
B.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
-
C.
rankComparedTo
chosen
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
-
D.
rankBeforeKingship
Indicates that one entity held a higher or earlier rank or status than another entity prior to that other entity attaining kingship.
-
E.
queenColor
Indicates the color attribute associated with a queen in a given context.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.