Triple
T36621203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady of the Two Lands |
E904041
|
entity |
| Predicate | counterpartTitle |
P101193
|
FINISHED |
| Object | King of the Two Lands |
E139761
|
NE 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: King of the Two Lands | Statement: [Lady of the Two Lands, counterpartTitle, King of the Two Lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterpartTitle Context triple: [Lady of the Two Lands, counterpartTitle, King of the Two Lands]
-
A.
counterpartyTitle
chosen
Indicates the formal role, position, or designation held by the counterparty in the relationship or transaction.
-
B.
counterpartVersion
Indicates a version relationship where one entity serves as the corresponding or matching version of another entity in a different context, system, or side of an interaction.
-
C.
counterpartTerm
Indicates that one term serves as a corresponding or equivalent term to another within a specific relational or comparative context.
-
D.
counterpartPortrayedBy
Indicates that one entity serves as the acting or visual representation (such as an actor, avatar, or stand-in) of another entity in a given context.
-
E.
counterpartRelation
Indicates a reciprocal relationship where two entities serve as corresponding or equivalent counterparts to each other in a given context.
- F. None of above.
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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a031c6c728c81909c1d010048df71c3 |
completed | May 12, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a0961ae8081908118d3985cba3516 |
completed | June 23, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_6a031bfc3b74819098c551096b1fcf00 |
completed | May 12, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:11 p.m.