Triple
T22526196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صفوت الشريف |
E556909
|
entity |
| Predicate | مذكور في |
P89069
|
FINISHED |
| Object | قوائم أبرز رجال نظام مبارك |
—
|
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: قوائم أبرز رجال نظام مبارك | Statement: [صفوت الشريف, مذكور في, قوائم أبرز رجال نظام مبارك]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مذكور في Context triple: [صفوت الشريف, مذكور في, قوائم أبرز رجال نظام مبارك]
-
A.
ذُكر_في
chosen
Indicates that an entity is mentioned or referenced within another entity, such as a text, document, or source.
-
B.
mentionedInInscription
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
-
C.
mentionedInParva
Indicates that something is referenced or discussed within a specific parva (section or book) of a larger text.
-
D.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
E.
documentedInBook
Indicates that information about an entity is recorded or described within a particular book.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:51 p.m.