Triple
T27509058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siti Hasmah Mohamad Ali |
E694359
|
entity |
| Predicate | isFirstLadyOf |
P68007
|
FINISHED |
| Object | Malaysia |
—
|
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: Malaysia | Statement: [Siti Hasmah Mohamad Ali, isFirstLadyOf, Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstLadyOf Context triple: [Siti Hasmah Mohamad Ali, isFirstLadyOf, Malaysia]
-
A.
firstLady
Indicates that a person holds the role or status of First Lady in relation to a specific political leader, office, or country.
-
B.
stateFirstLadyOf
chosen
Indicates that a person holds or has held the official role of First Lady for a given state.
-
C.
servedAsFirstLadyOfTheUnitedStatesFrom
Indicates that a person held the role of First Lady of the United States during a specified time period.
-
D.
precededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person served as First Lady of the United States immediately before another person.
-
E.
succeededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person ceased serving as First Lady of the United States and was directly followed in that role by another specific person.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62ef732ec8190b0b385c4237c6dab |
completed | May 2, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:15 p.m.