Triple
T24605488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Haiti |
E608954
|
entity |
| Predicate | officeHolderTitleInHaitianCreole |
P156720
|
FINISHED |
| Object | Premye minis Ayiti |
—
|
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: Premye minis Ayiti | Statement: [Prime Minister of Haiti, officeHolderTitleInHaitianCreole, Premye minis Ayiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTitleInHaitianCreole Context triple: [Prime Minister of Haiti, officeHolderTitleInHaitianCreole, Premye minis Ayiti]
-
A.
officeHolderTitleInMalagasy
Indicates the official title or designation of an office holder as expressed in the Malagasy language.
-
B.
officeHoldersTitleInFrench
Indicates that an office holder’s official title is expressed in the French language.
-
C.
officeHolderTitleInKirundi
Indicates the official title or designation that an office holder has when expressed in the Kirundi language.
-
D.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
E.
officeHolderTitleInLatin
Indicates that the specified office holder’s title is expressed in its Latin-language form.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:31 a.m.