Triple
T7026361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naglaa Ali Mahmoud |
E162956
|
entity |
| Predicate | preferredTitle |
P5175
|
FINISHED |
| Object | wife of the president |
—
|
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: wife of the president | Statement: [Naglaa Ali Mahmoud, preferredTitle, wife of the president]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preferredTitle Context triple: [Naglaa Ali Mahmoud, preferredTitle, wife of the president]
-
A.
providedTitle
Indicates that one entity has supplied or assigned a specific title or designation to another entity.
-
B.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
C.
receivedTitle
Indicates that an entity has been formally granted or awarded a specific title or honor.
-
D.
traditionalTitleGivenBy
Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
-
E.
associatedTitle
chosen
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.