Triple
T33809314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammed Abdullah Alhabshee |
E866479
|
entity |
| Predicate | spousePrePresidencyRole |
P195463
|
FINISHED |
| Object | Speaker of Parliament of Singapore |
—
|
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: Speaker of Parliament of Singapore | Statement: [Mohammed Abdullah Alhabshee, spousePrePresidencyRole, Speaker of Parliament of Singapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spousePrePresidencyRole Context triple: [Mohammed Abdullah Alhabshee, spousePrePresidencyRole, Speaker of Parliament of Singapore]
-
A.
spouseLaterOffice
Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
-
B.
spouseOffice
Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
-
C.
marriedToVicePresident
Indicates that one person is legally married to an individual who holds the office or role of vice president.
-
D.
marriedToDuringOffice
Indicates that one person was married to another person specifically during the time they held a particular office or position.
-
E.
spouseOfFormer
Indicates that one entity is the spouse of another entity who is a former holder of some role, status, or position.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: May 1, 2026, 1:46 a.m.