Triple
T24939843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Claire Heureuse Félicité |
E623417
|
entity |
| Predicate | marriedToHeadOfStateOf |
P29476
|
FINISHED |
| Object | Haiti |
—
|
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: Haiti | Statement: [Marie-Claire Heureuse Félicité, marriedToHeadOfStateOf, Haiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToHeadOfStateOf Context triple: [Marie-Claire Heureuse Félicité, marriedToHeadOfStateOf, Haiti]
-
A.
marriedToHeadOfGovernmentOf
Indicates that one entity is the spouse of the person who holds the position of head of government of the other entity.
-
B.
spouseOfHeadOfState
chosen
Indicates that one person is the spouse (married partner) of a head of state.
-
C.
spouseOfCountry
Indicates that an entity is the spouse or marital partner of a person who is associated with, represents, or is from a specified country.
-
D.
spouseOfLeader
Indicates that one entity is the married partner (spouse) of another entity who holds a leadership position.
-
E.
spouseIsMonarchOf
Indicates that a person's spouse holds the position of monarch (ruler) of a specified country or territory.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:30 a.m.