Triple
T22291361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Emina Ilhamy |
E551002
|
entity |
| Predicate | courtCultureRole |
P45619
|
FINISHED |
| Object | patron of courtly life in Cairo |
—
|
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: patron of courtly life in Cairo | Statement: [Princess Emina Ilhamy, courtCultureRole, patron of courtly life in Cairo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtCultureRole Context triple: [Princess Emina Ilhamy, courtCultureRole, patron of courtly life in Cairo]
-
A.
courtRole
Indicates the specific capacity or position an entity holds within a court proceeding or judicial context.
-
B.
courtCulture
Indicates the prevailing norms, practices, and behavioral expectations that characterize how a particular court operates and conducts its proceedings.
-
C.
roleAtCourt
chosen
Indicates the specific position, function, or status an entity holds within a court or courtly setting.
-
D.
judicialRole
Indicates that one entity holds or performs a specific official function or position within the judicial system in relation to another entity or legal matter.
-
E.
juryRole
Indicates that an entity serves in the capacity or function of a juror within a judicial or decision-making process.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560c47e481908b33de63a11e25de |
completed | April 29, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:41 p.m.