Triple
T23787467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauline Puyat |
E587990
|
entity |
| Predicate | hasCharacterFunction |
P33244
|
FINISHED |
| Object | embodies tensions between Native spirituality and Catholicism |
—
|
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: embodies tensions between Native spirituality and Catholicism | Statement: [Pauline Puyat, hasCharacterFunction, embodies tensions between Native spirituality and Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterFunction Context triple: [Pauline Puyat, hasCharacterFunction, embodies tensions between Native spirituality and Catholicism]
-
A.
characterFunction
chosen
Indicates the role, purpose, or narrative function that a character serves within a story or context.
-
B.
hasCharacters
Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
-
C.
hasCharacterClass
Indicates that an entity (such as a character) belongs to or is assigned a particular character class or role type.
-
D.
hasCharacterContext
Indicates that a character is associated with or participates in a particular contextual situation, setting, or state.
-
E.
hasLanguageCharacter
Indicates that an entity uses, contains, or is associated with a specific written or symbolic character from a language.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c6332cb48190aa45ca6d8d98ed08 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.