Triple
T33747947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1936 Iraqi coup d'état |
E864750
|
entity |
| Predicate | headOfGovernmentAfter |
P98358
|
FINISHED |
| Object | Hikmat Sulayman |
—
|
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: Hikmat Sulayman | Statement: [1936 Iraqi coup d'état, headOfGovernmentAfter, Hikmat Sulayman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headOfGovernmentAfter Context triple: [1936 Iraqi coup d'état, headOfGovernmentAfter, Hikmat Sulayman]
-
A.
headOfGovernmentAfterUnion
Indicates that one entity served as the head of government of another entity following a specific political union or unification event.
-
B.
headOfGovernmentBefore
Indicates that one entity served as the head of government of a political body immediately prior to another specified head of government.
-
C.
subsequentHeadOfGovernment
chosen
Indicates that one entity served as the next head of government following another entity in an official succession.
-
D.
headOfGovernment
Indicates that one entity serves as the chief executive authority or leader of the government of another entity.
-
E.
headOfStateAfterEvent
Indicates the person who serves as the head of state of an entity following a specified event.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:45 a.m.