Triple
T27297241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Dina bint Abdul-Hamid |
E688797
|
entity |
| Predicate | titleAfterDivorce |
P182827
|
FINISHED |
| Object | Princess of Jordan |
—
|
NE NERFINISHED |
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: Princess of Jordan | Statement: [Princess Dina bint Abdul-Hamid, titleAfterDivorce, Princess of Jordan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleAfterDivorce Context triple: [Princess Dina bint Abdul-Hamid, titleAfterDivorce, Princess of Jordan]
-
A.
titleHolderDivorce
Indicates that one entity holds a title or status that was obtained or changed as a result of a divorce involving another entity.
-
B.
titleAfterAnnulment
Indicates that an entity holds or assumes a particular title only after a prior title or relationship has been annulled.
-
C.
titleAfterCase
Indicates that a title or designation is assigned to or used for an entity only after a particular case, event, or legal proceeding has occurred.
-
D.
titleAfterConfinement
Indicates that a new title or designation is assigned to an entity after a period of confinement or imprisonment.
-
E.
titleAfterName
Indicates that a person’s title or honorific is written after their name rather than before it.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: April 27, 2026, 11:19 a.m.