Triple
T24306055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhat an-Nitaqayn |
E612537
|
entity |
| Predicate | titleHolderRelationToAisha |
P155502
|
FINISHED |
| Object | sister |
—
|
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: sister | Statement: [Dhat an-Nitaqayn, titleHolderRelationToAisha, sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderRelationToAisha Context triple: [Dhat an-Nitaqayn, titleHolderRelationToAisha, sister]
-
A.
titleHolderRelationship
Indicates a relationship where one entity holds, possesses, or bears a specific title in connection to another entity or context.
-
B.
titleHolderRelationshipToEarl
Indicates the familial or social relationship that the current title holder has to the Earl.
-
C.
titleHolderMother
Indicates that the subject is the mother of the current or specified holder of a particular title.
-
D.
titleHolderWasConsortOf
Indicates that the person holding a particular title previously served as the consort (spouse or partner) of another specified individual.
-
E.
relationToNurJahan
Indicates a relationship or connection that an entity has specifically to Nur Jahan.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292272af88190b9c23615adbac911 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:30 a.m.