Triple
T25085906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Célestin Faustin |
E628319
|
entity |
| Predicate | religionAndSpiritualityDepicted |
P2154
|
FINISHED |
| Object | Haitian spiritual life |
—
|
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: Haitian spiritual life | Statement: [Célestin Faustin, religionAndSpiritualityDepicted, Haitian spiritual life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionAndSpiritualityDepicted Context triple: [Célestin Faustin, religionAndSpiritualityDepicted, Haitian spiritual life]
-
A.
depictsReligiousDenomination
Indicates that one entity visually represents or portrays the religious denomination associated with another entity.
-
B.
portraysReligionAs
Indicates that one entity represents, depicts, or characterizes a religion in a particular way.
-
C.
religionOfCharacterPortrayed
Indicates that a work portrays a character as adhering to or being associated with a particular religion.
-
D.
depictedWithDeity
Indicates that an entity is shown or represented together with a particular deity in some form of depiction.
-
E.
religiousElement
chosen
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 6:23 a.m.